Publications

2023

K. Ito, H. Higashi, A. Hietanen, P. Fält, K. Hine, M. Hauta-Kasari, and S. Nakauchi, “Optimization of light source spectrum utilizing neural network for detecting oral lesions,” Journal of Imaging 9(1), 7 (2023).

S. Puustinen, H. Vrzáková, J. Hyttinen, T. Rauramaa, P. Fält, M. Hauta-Kasari, R. Bednarik, T. Koivisto, S. Rantala, M. von und zu Fraunberg, J. E. Jääskeläinen, and A.-P. Elomaa, “Hyperspectral Imaging in Brain Tumor Surgery—Evidence of Machine Learning-Based Performance”, World Neurosurgery, vol. 175, pp. e614-e635 (2023)

S. Puustinen, J. Hyttinen, A.-P. Elomaa, and H. Vrzáková, “Hyperspectral placenta dataset: Hyperspectral image acquisition, annotations, and processing of biological tissues in microsurgical training,” Data in Brief, vol. 50, p. 109526 (2023).

Y. Padrez, L. Golubewa, A. Bahdanava, M. Jankunec, I. Matulaitiene, D. Semenov, R. Karpicz, T. Kulahava, Y. Svirko and P. Kuzhir, “Nanodiamond surface as a photoluminescent pH sensor”, Nanotechnology, vol. 34, 19, p. 195702 (2023)

2022

S. Puustinen, J. Hyttinen, G. Hisuin, H. Vrzáková, A. Huotarinen, P. Fält, M. Hauta-Kasari, A. Immonen, T. Koivisto, J. E. Jääskeläinen, and A. -P. Elomaa, “Towards Clinical Hyperspectral Imaging (HSI) Standards: Initial Design for a Microneurosurgical HSI Database,” 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS), 2022, pp. 394-399.

S. J. R. Lehtonen, H. Vrzakova, J. J. Paterno, S. Puustinen, R. Bednarik, M. Hauta-Kasari, H. Haneishi, A. Immonen, J. E. Jääskeläinen, O.-P. Kämäräinen, and A.-P. Elomaa, “Detection improvement of gliomas in hyperspectral imaging of protoporphyrin IX fluorescence – in vitro comparison of visual identification and machine thresholds”, Cancer Treatment and Research Communications, vol. 32, p. 100615 (2022).

2021

J. Hyttinen, P. Fält, H. Jäsberg, A. Kullaa and M. Hauta-Kasari, “Computational Filters for Dental and Oral Lesion Visualization in Spectral Images,” in IEEE Access, vol. 9, pp. 145148-145160, 2021

L. Lind, H. Laamanen, I. Pölönen, ”Hyperspectral imaging of asteroids using an FPI-based sensor”, Proceedings SPIE Volume 11858, Sensors, Systems, and Next-Generation Satellites XXV (2021).

B. Khan, I. Kafian-Attari, E. Nippolainen, R. Shaikh, D. Semenov, M. Hauta-Kasari, J. Töyräs, and I. Afara, “Articular cartilage optical properties in the near-infrared (NIR) spectral range vary with depth and tissue integrity,” Biomedical Optics Express 12, 10: 6066-6080 (2021)

Y. Kurabuchi, K. Nakano, T. Ohnishi, T. Nakaguchi, S. Akita, M. Hauta-Kasari, H. Haneishi, “Design of a system combining narrow band illuminants and a color camera for early diagnosis of skin flap necrosis“, Proceedings SPIE Volume 11631, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX; 116310R (2021).

2020

S. Puustinen, J. Koskinen, H. Vrzakova, P. Bartczak, A. Hussein, S. Lehtonen,  and A.P. Elomaa, “Optimal spectral bands for instrument detection in microscope-assisted surgery“,  In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), 2020, pp. 327-331.

K.A. Iman, E. Nippolainen, D. Semenov, M. Hauta-Kasari, J. Toyras, I Afara, “Tissue optical properties combined with machine learning enable estimation of articular cartilage composition and functional integrity”, Biomedical optics express, Vol. 11, No. 11, 2020, pages 6480-6494.

J. Hyttinen, P. Fält, H. Jäsberg, A. Kullaa, and M. Hauta-Kasari, ”Oral and Dental Spectral Image Database—ODSI-DB”, Applied Sciences, 10(20), 7246 (2020)

G.M. Rahaman, J. Parkkinen, and M. Hauta-Kasari, “A Novel Approach to Using Spectral Imaging to Classify Dyes in Colored Fibers”, Sensors, Vol. 20 (16) article 4379, 2020.

S.Puustinen, S.Alaoui, P.Bartczak, R.Bednarik, T.Koivisto, A.Dietz, M.von und zu Fraunberg, M.Iso-Mustajärvi, A.P.Elomaa, “Spectrally Tunable Neural Network-Assisted Segmentation of Microneurosurgical Anatomy”, Frontiers in Neuroscience (2020)

M. Flinkman, T. Saastamoinen, P. Pääkkönen, J. Lehtolahti, P. Fält,  H. Laamanen, “Transmission filters forming orthogonal basis for spectral imaging purposes“, Optics Letters, Vol. 45 (12), pp. 3260-3263 (2020)

I. Kafian-Attari, D. Semenov, E. Nippolainen, M. Hauta-Kasari, J. Töyräs, I. O. Afara, “Optical properties of articular cartilage in the near-Infrared spectral range are related to its proteoglycan content“, Proceedings Volume 11363, Tissue Optics and Photonics; 113630W (2020)

Y. Kurabuchi, K. Nakano, T. Ohnishi, T. Nakaguchi, M. Hauta-Kasari, H. Haneishi, “Evaluation of the optimized surgical illuminant for enhancement of blood oxygen saturation”,  Proceedings Volume 11229, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVIII; 1122912 (2020).

Q. Alam, P. Bartczak, H. Paananen, M. Suvanto, and T. T. Pakkanen, “Modification of halloysite nanotubes (HNTs) with xanthene dyes and their application in luminescent polymer nanocomposites,” Journal of Luminescence, 2020, pp. 117096

2019

A. Mirhashemi, “Configuration and Registration of Multi-Camera Spectral Image Database of Icon Paintings,” Computation 7(3),  47, 2019

O. Boiko, J. Hyttinen, P. Fält, H. Jäsberg, A. Mirhashemi, A. Kullaa, and M. Hauta-Kasari, “Deep Learning for Dental Hyperspectral Image Analysis,” in 27th  Color and Imaging Conference Final Program and Proceedings, 2019, pp. 295-299

J. Hyttinen, P. Fält, H. Jäsberg, A. Kullaa, and M. Hauta-Kasari, ”Optical implementation of partially negative filters using a spectrally tunable light source, and its application to contrast enhanced oral and dental imaging”, Optics Express, Vol. 27(23), 2019, pp. 34022-34037

Y. Kurabuchi, K. Nakano, T. Ohnishi, T. Nakaguchi, M. Hauta-Kasari, and H. Haneishi, “Optimization of Surgical Illuminant Spectra for Organ Microstructure Visualization“, IEEE Access, Vol. 7, 2019, pp. 70733-70741.

K. Nakano, R. Hirofuji, T. Ohnishi, M. Hauta-Kasari, I. Nishidate, H. Haneishi, “RGB Camera-Based Imaging of Oxygen Saturation and Hemoglobin Concentration in Ocular Fundus“, IEEE Access, Vol. 7, 2019, pp. 56469 – 56479.

A. Garifullin, P. Kööbi, P. Ylitepsa, K. Ådjers, M. Hauta-Kasari, H. Uusitalo, and L. Lensu, “Hyperspectral Image Segmentation of Retinal Vasculature, Optic Disc and Macula“, in 2018 Digital Image Computing: Techniques and Applications (DICTA), IEEE,  pp. 1-5.

2018

J. L. Nieves, J. Hernández-Andrés, M. Hauta-Kasari, J. Y. Hardeberg, and A. Tremeau, “How the “COlour in Science and Industry (COSI)” Master Degree meets academic excellence and industrial needs”, Journal of the International Colour Association Vol. 22, 2018, pp. 23-33.

I. Nomura, Y. Tatsuzawa, N. Ojima, T. Imai, P. Fält, K. Ogawa-Ochiai, and N. Tsumura, “Canonical Correlation Analysis for Long-term Changes of Facial Images based on the Frequency of UV Protection, Physical and Psychological Features,” Journal of Imaging Science and Technology, 9 November 2018, pp. 010507-1 – 010507-8

J. Hyttinen, P. Fält, L. Fauch, A. Riepponen, A. Kullaa, and M. Hauta-Kasari, ”Contrast Enhancement of Dental Lesions by Light Source Optimisation,” in Proceedings of Image and Signal Processing, 8th International Conference (ICISP 2018), Cherbourg, France, July 2–4, 2018. Alamin Mansouri, Abderrahim El Moataz, Fathallah Nouboud, Driss Mammass (Eds.). Lecture Notes in Computer Science (LNCS), vol. 10884, 2018, pp. 499–507

P. Fält, J. Hyttinen, L. Fauch, A. Riepponen, A. Kullaa, and M. Hauta-Kasari, ”Spectral Image Enhancement for the Visualization of Dental Lesions,” in Proceedings of Image and Signal Processing, 8th International Conference (ICISP 2018), Cherbourg, France, July 2–4, 2018. Alamin Mansouri, Abderrahim El Moataz, Fathallah Nouboud, Driss Mammass (Eds.). Lecture Notes in Computer Science (LNCS), vol. 10884, 2018, pp. 490–498

P. Bartczak, H. Vrzakova, R. Bednarik, M. Iso-Mustajarvi, M. Hauta-Kasari, J. Jääskeläinen, M.Fraunberg, and .Pekka Elomaa, “Spectral Video in Image-Guided Microsurgical Applications: Integrating Imaging Technology into the Clinical Environment and Ergonomic Considerations“, in 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 2018, pp 286 – 291

P. Bartczak, M. Iso-Mustajarvi, H. Vrzakova, R. Bednarik, M. Fraunberg, and A.Pekka Elomaa, “A Portable System for On-Site Medical Spectral Imaging: Pre-Clinical Development and Early Evaluation“, in 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), 2018, pp 256 – 261.

Kurabuchi Y., Murai K., Nakano K., Ohnishi T., Nakaguchi T., Hauta-Kasari M., and Haneishi H., Optimal design of illuminant for improving intraoperative color appearance of organs.  Artificial Life and Robotics, 2018, pp 1–7.

Heikkinen V.: Spectral Reflectance Estimation Using Gaussian Processes and Combination Kernels. IEEE Transactions on Image Processing, Vol. 27(7), 2018, pp. 3358-3373.

2017

Mirhashemi A. : Introducing spectral moment features in analyzing the SpecTex hyperspectral texture database. Machine Vision and Applications, 2017, pp.  1-18.

Bartczak P., Fält P., Penttinen N., Ylitepsa P., Laaksonen L., Lensu L., Hauta-Kasari M., Uusitalo H.: Spectrally optimal illuminations for diabetic retinopathy detection in retinal imaging. Optical Review,  Vol. 24 (2), 2017, pp. 105-116.

Gebejes A., Huertas R., Tremeau A., Tomic I., Biswas P. R., Fraza C., Hauta-Kasari M.: Texture characterization by grey-level co-occurrence matrix from a perceptual approach. In: – (ed.) , Color and Imaging Conference, 24th Color and Imaging Conference. Society for Imaging Science and Technology. Color and Imaging Conference 2016,  pp. 271-277.

Laaksonen L., Claridge E., Fält P., Hauta-Kasari M., Uusitalo H., Lensu L.: Comparison of image registration methods for composing spectral retinal images. Biomedical Signal Processing and Control, Vol. 36, 2017, pp. 234-245.

Rahaman G.M.A., Parkkinen J., Hauta-Kasari M. and Amirshahi S.H.: Fiber dye classification by spectral imaging.
2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 1 – 6, DOI: 10.1109/ICIVPR.2017.7890872.

Rahaman G.M.A., Parkkinen J., Hauta-Kasari M. and Amirshahi S.H.: Enhanced color visualization by spectral imaging: An application in cultural heritage. 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 1 – 6, DOI: 10.1109/ICIVPR.2017.7890870.

Kamarol S., Jaward M.H., Kälviäinen H., Parkkinen J. and Parthiban R.: Joint Facial Expression Recognition and Intensity Estimation Based on Weighted Votes of Image Sequences. Pattern Recognition Letters, in Press (available online 4 April 2017, http://dx.doi.org/10.1016/j.patrec.2017.04.003)

Amirshahi S.H., Parkkinen J., Afzalia B.: Preservation of spectral color information under different light sources. Optik, Vol. 135, 2017, pp. 271–280.

Tang S., Kalavally V., Ng K.Y., Parkkinen J.: Development of a prototype smart home intelligent lighting control architecture using sensors onboard a mobile computing system. Energy and Buildings, Vol. 138, 2017, pp. 368-376.

2016

Laaksonen L., Hannuksela A., Claridge E., Falt P., Hauta-Kasari M., Uusitalo H., and Lensu L.: Evaluation of feature sensitivity to training data inaccuracy in detection of retinal lesions. In Bordallo Lopez Miguel, Hadid Abdenour Pietikäinen Matti (ed.) , 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA), pp. 1-6.

Singh S.P., Fält P., Barman I., Koistinen A., Dasari R.R., Kullaa, A.M.: Objective identification of dental abnormalities with multispectral fluorescence imaging. Journal of Biophotonics, 2016 (early view), pp. 1-8.

Gebejes A., Fält P., Bednarik R., Hauta-Kasari M.: SPEED: SPectral Eye vidEo Database. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (pp. 1666-1675). ACM.

Flinkman M., Laamanen H.:  How Many Object Colors Can We Distinguish? A Comment on Prof. Kuehni. COLOR RESEARCH AND APPLICATION, Vol. 41 (5), 2016, pp. 539-540.

Bartczak P., Fält P., Hauta-Kasari M. Applicability of LED-Based Light Sources for Diabetic Retinopathy Detection in Retinal Imaging, In 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (pp. 355-360). IEEE.

Bartczak P., Gebejes A., Fält P., Hauta-Kasari M. An LED-Based Tunable Illumination for Diverse Medical Applications, In 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (pp. 292-293). IEEE.

Khorasanizadeh H., Parkkinen J., Parthiban R.: The role of gender and education level on diffusion of innovation and use of technology: A case of LED in Malaysia. The World Congress on Engineering and Computer Science 2016, San Francisco, USA, 19-21 October, 2016.

Chew I., Kalavally V., Chee Pin Tan and Parkkinen J.: A Spectrally-Tunable Smart LED Lighting System with Closed-Loop Control. IEEE Sensors Journal, Vol. 16, No. 11, 2016, pp. 4452-4459.

Siti Khairuni Amalina Kamarol, Mohamed Hisham Jaward, Jussi Parkkinen, Rajedran Parthiban: Spatio-Temporal Feature Extraction for Facial Expression Recognition. IET Image Processing, vol. 10, no. 7, 2016, pp. 534-541.

Khorasanizadeh H., Honarpour A., Park M. S.-A., Parkkinen J. and Parthiban R.: Adoption factors of cleaner production technology in a developing country: energy efficient lighting in Malaysia. Journal of Cleaner Production, vol. 131, 2016, pp. 97-106, 2016.

Heikkinen V., Cámara, C., Hirvonen T., Penttinen N.: Spectral imaging using consumer-level devices and kernel-based regression. Journal of Optical Society of America A, Vol. 33, 2016, pp. 1095-1110.

Chew I., Kalavally V., Naing Win Oo and Parkkinen J.: Design of an energy-saving controller for an intelligent LED lighting system. Energy and Buildings, Vol. 120, 2016, pp. 1-9.

2015

Rogelj N., Penttinen N. and Klanjšek G. M.: Evaluation of complex gonioapparent samples using a bidirectional spectrometer, Optics Express, Vol. 23(17), 2015, pp. 22004-220011.

Khorasanizadeh H., Parkkinen J. and Parthiban R.: Adoption of Energy Efficient New Technologies from the Point of View of Malaysian Experts and Consumers: A Qualitative Analysis, Journal of Clean Energy Technologies, Vol. 3 (3), 2015, pp. 236-241.

Khorasanizadeh H., Parkkinen J., Parthiban R. and Moore J.D.: Energy and economic benefits of LED adoption in Malaysia, Renewable and Sustainable Energy Reviews, Vol 49, 2015, pp. 629-637.

Boon Lung Fam, Jaward Md. H. and Parkkinen J.: Spatio-Temporal Descriptor for Abnormal Human Activity Detection., in MVA2015 – International Conference on Machine Vision Applications, Tokyo Japan, May 18-22, 2015, pp. 471 – 474.

Tang S., Kok Yew Ng, Boon How Khoo and Parkkinen J.: Real-Time Lane Detection and Rear-End Collision Warning System On A Mobile Computing Platform, In COMPSAC 2015 – The 39th Annual International Computers, Software & Applications Conference, Taichung, Taiwan, 2015.

Bartczak P., Čerāne D., Fält P., Ylitepsa P., Hietanen E., Penttinen N., Laaksonen L., Lensu L., Hauta-Kasari M., Uusitalo H.  Spectrally Tunable Light Source Based on Digital Micromirror Device for Retinal Image Contrast-enhancement, Lithuanian Journal of Physics, Vol. 55, No. 3, 2015, pp. 629-637.

Bartczak P., Gebejes A., Fält P., Parkkinen J., Silfsten P. LED-based spectrally tunable light source for camera characterization,  In CVCS 2015 – Colour and Visual Computing Symposium, Gjovik, Norway, August 25–26, 2015.

Čerāne D., Fält P., Bartczak P. Comparison of Optimized and Most Significant Illuminations Using a Spectrally Tunable Light Source, 11th International Young Scientist conference “Developments in Optics and Communications”, 8-10 April, 2015.

Bartczak P., Fält P., Čerāne D., Penttinen N., Hauta-Kasari M. Implementation of Optimal Illuminations for Retinal Imaging Using a Spectrally Tunable Light Source Based on Digital Micromirror Device, 58th Scientific Conference for Students of Physics and Natural Science, 24-27 March, 2015.

Peterhänsel S., Laamanen H., Lehtolahti J., Kuittinen M., Osten W., Tervo J. Human color vision provides nanoscale accuracy in thin-film thickness characterization. Optica, Vol. 2 (7), 2015, pp. 627-630.

Dumont J., Hirvonen T., Heikkinen V., Mistretta M., Granlund L., Himanen K., Fauch L., Porali I., Hiltunen J., Keski-Saari S., Nygren M., Oksanen E., Hauta-Kasari M., Keinänen M. Thermal and hyperspectral imaging for Norway Spruce (Picea Abies) seeds screening. Computers and electronics in Agriculture, Vol. 116, 2015, pp. 118-124.

Parkkinen J., Laamanen H., Hauta-Kasari M. Subspace approach in spectral color science (Chapter 10): Bingham E., Kaski S., Laaksonen J., Lampinen J., Advances in Independent Component Analysis and Learning Machines. 2015, pp. 211-221.

Vitorino T., Casini A., Cucci C., Gebejes A., Hiltunen J., Hauta-Kasari M., Picollo M., Stefani L. Accuracy in colour reproduction: Using a ColorChecker chart to assess the usefulness and comparability of data acquired with two hyper-spectral systems. Computational Color Imaging. Proceedings of the 5th International Workshop, CCIW 2015, Saint Etienne, France, March 24-26, 2015, Springer,  LNCS, Vol. 9016, pp. 225-235.

2014

Wu Z., Heikkinen V., Hauta-Kasari M., Parkkinen J., Timo T.: ALS data based forest stand delineation with a coarse-to-fine segmentation approach, In 7th International Congress on Image and Signal Processing (CISP 2014),pp.547-552, 14-16 Oct. 2014.

Chua J-L., Chang Y. C., Jaward Md. H., Parkkinen J. and Wong K-S.: Vision-based Hand Grasping Posture Recognition in Drinking Activity, In ISPACS – IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Kuching, Malaysia, December 1-4, 2014.

Tam Y. J., Kalavally V. and Parkkinen J.P.S.: Mixed-color LED lighting with circadian benefits. In LS14 -14th International Symposium on the Science and Technology of Lighting, Como, Italy, June 22-27, 2014, pp. 443-448.

Peterhänsel S., Laamanen H., Kuittinen M., Turunen J., Pruss C., Osten W., Tervo J.: Solving the inverse grating problem with the naked eye, Optics Letters, Vol. 39(12), 2014, pp. 3547-3550.

Flinkman M, Laamanen H, Silfsten P, Hauta-Kasari M, Vahimaa P.: Daylight Colored Optimal Spectra for Improved Color Discrimination, in Image and Signal Processing – Proceedings of the 6th International Conference, ICISP 2014, Cherbourg, France, June 30-July 2, 2014, Springer,  LNCS, Vol. 8509, pp. 1-8.

Fält P., Yamaguchi M., Murakami Y., Laaksonen L., Lensu L., Claridge E., Hauta-Kasari M., Uusitalo H. Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy Lesions, in Image and Signal Processing – Proceedings of the 6th International Conference, ICISP 2014, Cherbourg, France, June 30-July 2, 2014, Springer,  LNCS, Vol. 8509, pp. 52-60.

Gebejes A., Orava J., Penttinen N., Heikkinen V., Hiltunen J., Hauta-Kasari M. Color and Image Characterization of a Three CCD Seven Band Spectral Camera, in Image and Signal Processing – Proceedings of the 6th International Conference, ICISP 2014, Cherbourg, France, June 30-July 2, 2014, Springer,  LNCS, Vol. 8509, pp. 96-105.

Sakamoto J., Dumont J., Fauch L., Keski-Saari S., Granlund L., Porali I., Orava J., Hiltunen J., Oksanen E., Keinänen M., Hauta-Kasari M., Natural Vision Data File Format as a New Spectral Image Format for Biological Applications, in Image and Signal Processing – Proceedings of the 6th International Conference, ICISP 2014, Cherbourg, France, June 30-July 2, 2014, Springer,  LNCS, Vol. 8509, pp. 124-132.

Dumont J., Mistretta M., Granlund L., Hirvonen T., Heikkinen V., Nygren M., Hiltunen J., Porali I., Keski-Saari S., Himanen K., Oksanen E., Hauta-Kasari M., Keinänen M. 2014. Thermal and hyperspectral imaging techniques as fast and non-destructive tools for forest tree seeds screening. Plant Biology Europe FESPB/EPSO 2014 Congress, June 22-26, Dublin, Ireland.

Hirvonen T., Orava J., Penttinen N., Luostarinen K., Hauta-Kasari M., Sorjonen M., Peiponen K.-E. Spectral image database for observing quality of Nordic sawn timers, Wood Science and Technology, 2014;48(5);995-1003.

Hirvonen T., Penttinen N., Hauta-Kasari M., Sorjonen M., Peiponen K.-E.: Near-Infrared Imaging Method for Measuring the Thickness of Water-Dilutable Turbid Layers. Journal of Imaging Science and Technology, 2014, 58(1), 105031-105034

Pant P., Heikkinen V., Korpela I., Hauta-Kasari M., Tokola T.: Logistic Regression Based Spectral Band Selection for Tree Species Classification – Effects of Spatial Scale and Balance in Training Samples, IEEE Geoscience and Remote Sensing Letters, 2014;11(9);1604-1608.

Eckhardt T., Valero E., Hernández-Andrés J., Heikkinen V.: Evaluating logarithmic kernel for spectral reflectance estimation – effects on model parametrization, training set size and number of sensor spectral channels. Journal of the Optical Society of America A, accepted, 2014.

2013

Hauta-Kasari M., Industrial Applications of Spectral Imaging, Invited presentation, The Tenth Japan-Finland Joint Symposium on Optics in Engineering, Technical Digest, September 2-5, 2013, Utsunomiya, Japan. pp. 105-106.

Shyu M. James and Parkkinen J.: Fundamentals of Color. In Fernandez-Maloigne C. (Ed.): Advanced Color Image Processing and Analysis, Springer Verlag, Heidelberg, 2013, pp. 1 – 18.

Abu Fares W. I. I., Kalavally V., Kamrani N. and Parkkinen J.: Spectrum-Controlled LED System for Light Quality Testing, In ICP2014 – IEEE 4th International Conference on Photonics, Melaka, Malaysia, October 28 – 30, 2014, pp. 212-214.

Li H., Wu Z., Zhang L., Parkkinen J.: SR-LLA: A novel spectral reconstruction method based on locally linear approximation, In ICIP – 20th IEEE International Conference on
Image Processing, Melbourne, Australia, September 15 – 18, 2013, pp. 2029 – 2033.

Wu Z., Heikkinen V., Hauta-Kasari M., Parkkinen J., Detection of Intracutaneous Allergic Skin Elements Based on Near-infrared Spectral Skin Images: N.V. Smirnov, T.E. Smirnova, In XLIV International Conference Control Processes and Stability (CPS’13), St. Petersburg, Russia, April 2013. pp. 539-544.

Azuma K., Fält P., Hauta-Kasari M., Nakauchi S.: Optimal Spectral Filter Design for Wood Chip Classification, The Tenth Japan-Finland Joint Symposium on Optics in Engineering, Technical Digest, September 2-5, 2013, Utsunomiya, Japan. pp. 69-70.

Yamagichi R., Fält P., Hauta-Kasari M., Nakauchi S.: Optimal Bandpass Filter Design for Diabetic Retinopathy Lesion Detection, The Tenth Japan-Finland Joint Symposium on Optics in Engineering, Technical Digest, September 2-5, 2013, Utsunomiya, Japan. pp. 71-72.

Hirvonen T., Penttinen N., Hauta-Kasari M., Sorjonen M., Peiponen K-E.: A Wide Spectral Range Reflectance and Luminescence Imaging System, Sensors, Vol. 13(11), 2013, pp. 14500-14510.

Vilaseca M., Schael B., Delpueyo X., Chorro E., Perales E., Hirvonen T., Pujol J.: Repeatability, reproducibility and accuracy of a novel pushbroom hyperspectral system, Color Research and Application, Accepted, 2013.

Heikkinen V., Mirhashemi A., Alho J.: Link functions and Matérn kernel in the estimation of reflectance spectra from RGB responses, Journal of the Optical Society of America A, Vol. 30(11), 2013, pp. 2444-2454.

Flinkman M., Laamanen H., Tuomela J., Vahimaa P., Hauta-Kasari M.: Eigenvectors of optimal color spectra, Journal of the Optical Society of America A, Vol. 30(9), 2013, pp. 1806-1813.

Pant P., Heikkinen V., Hovi A., Korpela I., Hauta-Kasari M., Tokola T.: Evaluation of Simulated Bands in Airborne Optical Sensors for Tree Species Identification, Remote Sensing of Environment, Vol. 138, 2013, pp. 27–37.

Gebejes A., Martinez Domingo M. A., Heikkinen V., Tomic I.: Reflectance recovery for coated printed color samples via multiangular RGB camera measurements, In CVCS 2013 – Colour and Visual Computing Symposium, Gjovik, Norway, September 5–6, 2013.

Gebejes A., Huertas R., Tomic I., Stepanic M.: Selection of optimal features for texture characterization and perception, In CVCS 2013 – Colour and Visual Computing Symposium, Gjovik, Norway, September 5–6, 2013.

Korhonen L., Pippuri I., Packalen P., Heikkinen V., Maltamo M., Heikkilä J.: Taimikonhoitotarpeen määrittäminen korkean resoluution kaukokartoitusaineistojen avulla. Metsätieteen aikakauskirja 2013/2, p. 193.

Korhonen L., Pippuri I., Packalen P., Heikkinen V., Maltamo M., Heikkilä J.: Detection of the need for seedling stand tending using high-resolution remote sensing data, Silva Fennica, Vol. 47(2), article id 952, 2013.

Wu Z., Heikkinen V., Hauta-Kasari M., Parkkinen J.: Segmentation of Skin Spectral Images Using Simulated Illuminations, In 15th International Conference on Computer Analysis of Images and Patterns (CAIP 2013), York, UK, August 26–29, 2013. Springer, LNCS, Vol. 8048, pp. 274–281.

Martinez Domingo M. A., Valero-Benito E. M., Heikkinen V., Langfelder G.: Design of a Multispectral Imaging System based on Transverse Field Detectors, In Proceedings of AIC 2013 – 12th International Conference, Newcastle, England, July 8–12, 2013.

Wu Z., Heikkinen V., Hauta-Kasari M., Parkkinen J.: Forest Stand Delineation Using a Hybrid Segmentation Approach Based on Airborne Laser Scanning Data, In 18th Scandinavian Conference on Image Analysis (SCIA 2013), Espoo, Finland, June 17–20, 2013. LNCS, Vol. 7944, pp. 95–106.

Rahaman A. G. M., Parkkinen J., Hauta-Kasari M., Norberg O.: Retinal Spectral Image Analysis Methods Using Spectral Reflectance Pattern Recognition. In Computational Color Imaging – 4th International Workshop, CCIW 2013, Chiba, Japan, March 3-5, 2013. Springer, LNCS, Vol. 7786, pp. 224-238.

Kwon JH., Lee SD., Ok HW., Parkkinen J., Jetsu T., Heikkinen V. System, medium, and method converting colors, US Patent 8,363,931, issued: Jan. 29, 2013.

2012

Flinkman M., Laamanen H., Vahimaa P., Hauta-Kasari M.: Number of colors generated by smooth non fluorescent reflectance spectra, Journal of the Optical Society of America A, Vol. 29(12), 2012, pp. 2566-2575.

Li Hongyu, Lin Chen, Niu Junyu, Zhang Lin, Parkkinen J.: Manifold Analysis of Spectral Munsell Colors, In ICONIP2012, Lecture Notes in Computer Science, Vol. 7663, 2012, pp. 543 – 550.

Gane P., Silfsten P., Tåg C., Pääkkönen P., Hiltunen J., Kuivalainen K., Oksman A., Peiponen K.: Isolating contributions to gloss from surface mechanical and optical roughness, thin layer refractive index and wavelength filtering as a function of illumination and geometry of incidence.  Journal of Print and Media Technology Research, 2012.

Orava J., Parkkinen Jussi J., Hauta-Kasari M., Hyvönen P.: A. von Wright, Temporal clustering of minced meat by RGB- and spectral imaging, Journal of Food Engineering, Vol.112(1–2), 2012, pp. 112–116.

Pant P., Mutanen J., Mankki A., Hauta-Kasari M., Parkkinen J.: Spectral Analysis and Classification of Dirt Particles in Pulp, Nordic Pulp & Paper Research Journal, 2012, pp.577–589.

Antikainen J., Kinnunen J., Hirvonen T., Hauta-Kasari M.: Heartwood Detection for Scotch Pine Using Fluorescence Image Analysis, Holzforschung, Vol. 66(7), 2012, pp. 877–881.

Pant P., Heikkinen V., Aarne H., Korpela I., Hauta-Kasari M., Tokola T., Utilization of Remotely Sensed Hyperspectral Information for Forest Analysis, Multidisciplinary Dialogue – Wellbeing, Technology and Environment, Rovaniemi, August 27–31, 2012.

Pant P., Heikkinen V., Aarne H., Korpela I., Hauta-Kasari M., Tokola T., Spectral Characteristics of Hyperspectral and Multispectral Sensors for Area Based Tree Species Classification, Finnish Remote Sensing Days (RSD 2012), October 25–26, Helsinki, 2012.

Wu Z., Heikkinen V., Parkkinen J., Hauta-Kasari M.: Utilization of Spectral Information in Clustering Based Color Image Segmentation, In Proceedings of the 6th European Conference on Colour in Graphics, Imaging, and Vision, (CGIV2012), Amsterdam, Netherlands, May 6–9, 2012, pp. 307–313.

2011

Fält P., Zawadzki R. J., Cense B.: The effect of collimator lenses on the performance of an optical coherence tomography system, in Proceedings of SPIE Photonics West 2011, Ophthalmic Technologies XXI, San Francisco, USA, January 22–24, Vol. (7885), 78850X-1 – 78850X-6, 2011.

Coppel L., Andersson M., Edström P., Kinnunen J.: Limitations in the efficiency of fluorescent whitening agents in uncoated paper. Nordic Pulp and Paper Research Journal, Vol. 26(3), pp. 319–328, 2011.

Salonen A., Hiltunen J. and Julkunen-Tiitto R.: Composition of Unique Unifloral Honeys from the Boreal Coniferous Forest Zone: Fireweed and Raspberry Honey. Journal of ApiProduct and ApiMedical Science, 2011.

Jetsu T., Essiarad Y., Heikkinen V., Jaaskelainen T., and Parkkinen J.: Color Classification using color vision models. Color Research and Applications, Vol. 36(4), pp. 266–271, 2011.

Heikkinen V., Korpela I., Tokola T., Honkavaara E., and Parkkinen J.: An SVM Calssification of Tree Species Radiometric Signatures Based on the Leica ADS40 Sensor. IEEE Transactions on Geoscience and Remote Sensing, Vol. 49(11), 2011, pp. 4539–4551.

Koirala P., Pant P., Hauta-Kasari M., and Parkkinen J.: Highlight detection and removal from spectral image. Journal of the Optical Society of America A, Vol. 28(11), 2011, pp. 2284–2291.

Korpela I., Heikkinen V., Honkavaara E., Rohrbach F., Tokola T.: Variation and directional anisotropy of reflectance at the crown scale – Implications for tree species classification in digital aerial images.Remote sensing of environment, Vol. 115(8), 2011, pp. 2062–2074.

Honkavaara E., Arbiol R., Markelin L., Martnez L., Bovet S., Bredif M.; Chandelier L., Heikkinen V., Korpela I., Lelegard L., Prez F., Schläpfer D., Tokola T.: EuroSDR project “Radiometric aspects of digital photogrammetric images” – Results of empirical phase, ISPRS IPI WS 2011, Hannover, 2011

Kinnunen J.,Hauta-Kasari M., Kokkonen H.,Vahimaa P., Lammi M.,Töyräs J., Jurvelin: Collagen cross-link modified fluorescence excitation-emission matrix of articular cartilage. In Proceedings of Topical problems of biophotonics 2011, pp. 59–60.

Kinnunen J.,Jurvelin J., Mäkitalo J., Hauta-Kasari M.,Vahimaa P.,Saarakkala S.: Spectral reflectance of articular cartilage. In Alexey Popov, Alexander Bykov, Janne Lauri, Matti Kinnunen (eds.), Optics days, book of abstracts, 2011, p. 83.

Antikainen J., M. von und zu Fraunberg, Orava J.,Jääskeläinen J. E., Hauta-Kasari M.: Spectral Imaging of Neurosurgical Target Tissues Through Operation Microscope, Optical review, Vol. 18(6), 2011, pp. 458–461.

Kinnunen J., Saarakkala S., Hauta-Kasari M., Vahimaa P., Jurvelin J.: Optical spectral reflectance of human articular cartilage – relationships with tissue structure, composition and mechanical properties, Biomedical Optics Express, Vol. 2(5), 2011,pp. 1394–1402.

Falt P., Hiltunen J., Hauta-Kasari M., Sorri I., Kalesnykiene V., Pietilä J.,Uusitalo H.: Spectral Imaging of the Human Retina and Computationally Determined Optimal Illuminants for Diabetic Retinopathy Lesion Detection, Journal of Imaging Science and Technology, Vol. 55(3), 2011, pp. 030509-1 – 030509-10.

Antikainen J.,Havel J., Josth R., Herout A., Zemcik P., Hauta-Kasari M.: Non-Negative Tensor Factorization Accelerated Using GPGPU, IEEE Transactions on Parallel and Distributed Systems, Vol. 22(7), 2011, pp. 1135–1141.

Josth R., Antikainen J., Havel J., Herout A., Zemcik P., Hauta-Kasari M.: Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU), Journal of Real-Time Image Processing, Vol. 1111, 2011, pp. 1–9–9

2010

Korpela I. , Ørka H. O., Hyyppä J., Heikkinen V., Tokola T.: Range and AGC-normalization in airborne discrete-return Lidar intensity data for forest canopies. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65(4), 2010, pp. 369–379.

Heikkinen V., Tokola T., Parkkinen J., Korpela I. and Jääskelainen T.: Simulated Multispectral Imagery for Tree Species Classification Using Support Vector Machines. IEEE Transactions on Geoscience and Remote Sensing, Vol. 48(3), part 2, pp. 1355–1364, MAR 2010

Ukishima M., Suzuki Y., Tsumura N., Nakaguchi T., Makinen M., and Parkkinen J.: A Method to Separately Model Mechanical and Optical Dot Gain Effects in Color Halftone Prints. TAGA 62nd Annual Technical Conference, San Diego, U.S.A., March 14–17, 2010. pp. 101–124.

Ukishima M., Suzuki Y., Tsumura N., Nakaguchi T., Makinen M., Inoue S., and Parkkinen J.: Spectral Image Prediction of Color Halftone Prints Based on Neugebauer Modified Spectral Reflection Image Model. European Conference on Colour in Graphics Imaging and Vision, CGIV’10, Joensuu, Finland, June 14–17, 2010. pp. 444–451.

Bochko V., Välisuo P., Alho T.M.R., Sutinen S., Parkkinen J., and Alander J.T.: Medical image colorization using learning. European Conference on Colour in Graphics Imaging and Vision, CGIV’10, Joensuu, Finland, June 14–17, 2010. pp. 70–74.

Antikainen J., Hauta-Kasari M., Jääskelainen T., and Parkkinen J.: Fast non-iterative PCA computation for spectral image analysis using GPU. European Conference on Colour in Graphics Imaging and Vision, CGIV’10, Joensuu, Finland, June 14–17, 2010. pp. 554–559.

Orava J., Jääskelainen T., and Parkkinen J.: Large Gamut Backlight for an LCD with Four Primaries. Journal of Display Technology, Vol. 6(5), 2010, pp. 170–177.

Kinnunen J., Jurvelin J., Mäkitalo J., Hauta-Kasari M., Vahimaa P., Saarakkala S.: Optical spectral imaging of degeneration of articular cartilage, Journal of Biomedical Optics, Vol. 15(4), 2010, Article Number: 046024.

Raisanen E., Hauta-Kasari M.: Colour Category foci of Munsell Colour Spectra Revealed by Two Computational Methods, Color Research and Application, Vol. 34( 4), 2010, pp. 294–303.

2009

Ukishima M., Kaneko H., Nakaguchi T., Tsumura N., Hauta-Kasari M., Parkkinen J., and Miyake Y.: A Simple Method to Measure MTF of Paper and its Application for Dot Gain Analysis. IEICE Transactions on Fundamentals of Electronics, Communications, and Computer Sciences, Vol. E92-A(12), 2009, pp. 3328–3335.

Ryhanen T., Hyttinen J.M.T., Kopitz J., Rilla K., Kuusisto E., Mannermaa E., Viiri J., Holmberg C.I., Immonen I., Meri S., Parkkinen J., Eskelinen E-L., Uusitalo H., Salminen A., Kaarniranta K.: Crosstalk between Hsp70 molecular chaperone, lysosomes and proteasomes in autophagy-mediated proteolysis in human retinal pigment epithelial cells. Journal of Cellular and Molecular Medicine, Vol. 13(9B), Sep 2009, pp. 3616–3631.

Lehtonen J., Parkkinen J., Hauta-Kasari M., Jääskelainen T.: Optimal Sampling and Principal Component Selections for Spectral Image Browsing. Journal of Imaging Science and Technology, Vol. 53(6), Nov/Dec 2009, pp. 060503-1-10.

Lehtonen J., Parkkinen J., Jääskelainen T.,Kamshilin A.: Principal component and sampling analysis of color spectra. Optical Review, Vol. 16(2), March 2009, pp. 81–90.

Jetsu T., Heikkinen V., Pogosova A., Jääskelainen T., Parkkinen J.: Comparison of Color Vision Models Based on Spectral Color Representation. Color research application, Vol. 34(5), October 2009, pp. 341–350.

Lensu L., Parkkinen S., Parkkinen J.: Biosensors, Color Sensitive. In: Flickinger M.C.: Encyclopedia of Industrial Biotechnology: Bioprocess, Bioseparation, and Cell Technology. Jonh Wiley & Sons, 2009.

Jetsu T., Komine H., Nakauchi S. and Parkkinen J.: The Effect of Stimulus Color, Size and Duration in Color Naming Reaction Times. Proceedings of the 11th Congress of the International Colour Association, AIC 2009, Sydney, Australia, 27 September to 2 October 2009, ISBN 1877040-76-2.

Koirala P., Hauta-Kasari M. and Parkkinen J.: Highlight Removal from Single Image. Advanced Concepts for Intelligent Vision Systems, 11th International Conference, ACIVS 2009, Bordeaux, France, Sept28-Oct2, 2009 Proceedings, LNCS 5807, pp. 176–187.

Krasavin K., Parkkinen J., Kaarna A. and Jääskeläinen T.: Quality of Reconstructed Spectrum for Watermarked Spectral Images Subject to Various Illumination Conditions. Advanced Concepts for Intelligent Vision Systems, 11th InternationalConference, ACIVS 2009, Bordeaux, France, Sept28–Oct2, 2009 Proceedings, LNCS 5807, pp. 571–576.

Martinkauppi B., Kekäläinen J., Shatilova Y. and Parkkinen J.: Carotenoid Concentration of Arctic Charr (Salvelinus Alpinus L.) from Spectral Data. Advanced Concepts for Intelligent Vision Systems, 11th International Conference, ACIVS 2009, Bordeaux, France, Sept28–Oct2, 2009 Proceedings, LNCS 5807, pp. 562–570.

Pant P., Koirala P., Hauta-Kasari M. and Parkkinen J.: Estimating Color Signal at Different Correlated Color Temperature of Daylight. Advanced Concepts for Intelligent Vision Systems, 11th International Conference, ACIVS 2009, Bordeaux, France, Sept28–Oct2, 2009 Proceedings, LNCS 5807, pp. 588–597.

Ukishima M., Mäkinen M., Nakaguchi T., Tsumura N., Parkkinen J. and Miyake, Y.: A Method to Analyze Preferred MTF for Printing Medium Including Paper. Image Analysis, 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15–18, 2009 Proceedings, Lecture Notes in Computer Science 5575, pp.607–616.

Pipirigeanu A., Bochko V., and Parkkinen J.: A Computationally Efficient Technique for Image Colorization. Computational Color Imaging Workshop, St Etienne, France, 26–27 March, 2009. Lecture Notes in Computer Science, Vol.(5646), Springer Verlag, pp. 120–129.

Kinnunen J.,Jurvelin J., Mäkitalo J., Hauta-Kasari M.,Saarakkala S.: Optical Reflection Spectroscopy in Diagnostics of Cartilage Degeneration, in Proceedings, 55th Annual Meeting of the Orthopaedic Research Society, 2009, pp. 2163.

Koirala P., Hauta-Kasari M., and Parkkinen, Highlight Removal Method for Spectral Image: Gjovik Color Imaging Symposium 2009, Hogskolen i Gjoviks rapportserie, 2009, Nr. 4, pp. 77–81.

Fält P., Hiltunen J., Hauta-Kasari M., Sorri I., Kalesnykiene V., and Uusitalo H.: Retinal spectral image database, Koli Workshop on Partial Electromagnetic Coherence and 3D Polarization, Koli, Finland, May 24–27, 2009, pp. 48–49.

Fält P., Hiltunen J., Hauta-Kasari M., Sorri I., Kalesnykiene V., Uusitalo H.: Extending Diabetic Retinopathy Imaging from Color to Spectra, in Proceedings, the 16th Scandinavian Conference on Image Analysis (SCIA 2009), Oslo, Norway, June 15–18, 2009, Lecture Notes in Computer Science 5575, Springer 2009, pp. 149–158.

2008

Kaarna A., Krasavin K., Parkkinen J., Jääskelainen T., van Schyndel R.: Watermarking Spectral Images with Three-Dimensional Wavelet Transform Subject to Various Illumination Conditions. Journal of Imaging Science and Technology, Vol. 52(3), 2008, pp. 030502:1–18.

Laamanen H., Jetsu T., Jääskelainen T. and Parkkinen J.: Weighted compression of spectral color information. Journal of Optical Society America A, Vol. 25(6), 2008, pp. 1383–1388.

Kohonen O., Hauta-Kasari M., Parkkinen J. and Jääskelainen T.: Effect of Illuminant Changes on Spectral Image Queries. Journal of Imaging Science and Technology, Vol. 52(2), 2008, pp. 020601:1–7.

Bochko V., Miyake Y. and Parkkinen J.: The Learning-Based Principal Component Analysis Technique in Low Resolution and High Resolution Spectral Images. Journal of Imaging Science and Technology, Vol. 52(3), 2008, pp. 030504:1–8.

Orava J., Heikkila N., Jääskelainen T., Parkkinen J.: Diffractive parameric colors. Journal of the Optical Society of America, JOSA A: Optics, Image Science, and Vision, Vol. 25(12), December 2008, pp. 2901–2907.

Heikkinen V., Lenz R., Jetsu T., Parkkinen J., Hauta-Kasari M., Jääskelainen T.: Evaluation and unification of some methods for estimating reflectance spectra from RGB images. Journal of Optical Society of America A, Vol. 25(10), 2008, pp.2444–2458.

Li Hongyu, Botchko Vladimir, Jääskelainen Timo, Parkkinen Jussi,Shen I-fan: Kernel-based spectral color image segmentation. Journal of Optical Society of America A, Vol. 25(11), 2008, pp. 2805–2816.

Andriyashin A., Kaarna A., Jääskeläinen T. and Parkkinen J.: NTF vs. PCA Features for Searching in a Spectral Image Database. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, 10th International Symposium on Multispectral Colour Science, Terrassa-Barcelona, España, June 9–13, 2008, pp. 499–504.

Bochko V., Parkkinen J., Hauta-Kasari M. and Jääskeläinen T.: Spectral Color Image Segmentation Using Hidden Markov Models. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, 10th International Symposium on Multispectral Colour Science, Terrassa-Barcelona, España, June 9–13, 2008, pp. 467–470.

Heikkinen V., Jetsu T., Parkkinen J. and Jääskeläinen T.: Estimation of Reflectance Spectra Using Multiple Illuminations. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, 10th International Symposium on Multispectral Colour Science, Terrassa-Barcelona, España, June 9–13, 2008, pp. 272–276.

Jetsu T., Essiarab Y., Heikkinen V., Jääskeläinen T., Parkkinen J.: Color Classification Using Color Vision Models. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, 10th International Symposium on Multispectral Colour Science, Terrassa-Barcelona, España, June 9–13, 2008, pp. 227–230.

Koirala P., Hauta-Kasari M., Hiltunen J., Parkkinen J.: Reflectance Prediction in Multi-Angle Measurement by Wiener Estimation Method. Proceedings of the 16th Color Imaging Conference, Color Science and Engineering Systems, Technologies, and Applications, Portland, Oregon, November 10–15, 2008, pp. 221–226.

Koirala P., Hauta-Kasari M., Hiltunen J., Parkkinen J.: Accurate reflectance prediction in multi-angle measurement. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, Terrassa, Spain, June 9–13, 2008, pp.489–493.

Krasavin K., Parkkinen J., Kaarna A., Jääskeläinen T.: Robustness of Watermarking Spectral Images with 3D Wavelet Transform Subject to Various Illumination Conditions. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, 10th International Symposium on Multispectral Colour Science, Terrassa-Barcelona, España, June 9–13, 2008, pp. 527–532.

Li H., Bochko V., Jääskeläinen T., Parkkinen J. and Shen I.: Kernel Based Spectral Image Segmentation. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, 10th International Symposium on Multispectral Colour Science, Terrassa-Barcelona, España, June 9–13, 2008, pp. 494–498.

Martinkauppi B., Lehtonen J. and Parkkinen J.: Near-infrared images of skin. CGIV 2008/MCS’08, 4th European Conference on Colour in Graphics, Imaging, and Vision, 10th International Symposium on Multispectral Colour Science, Terrassa-Barcelona, España, June 9–13, 2008, pp. 508–511.

Ukishima M., Nakaguchi T., Tsumura N., Hauta-Kasari M., Parkkinen J., and Miyake Y.: Dependence analysis of the paper MTF on the geometric condition. Pan-Pacific Imaging Conference (PPIC’08), Tokyo, Japan, June 25–27, 2008, pp. 298–301.

Ukishima M., Kaneko H., Nakaguchi T., Tsumura N., Hauta-Kasari M., Parkkinen J., and Miyake Y.: Optical dot gain simulation of inkjet image using MTF of paper. Pan-Pacific Imaging Conference, PPIC’08, Tokyo, Japan, June 25–27, 2008.

Hauta-Kasari M., Antikainen J., Regmi M., Kaemba M., Jääskelainen T., Parkkinen J.: Spectral Image Acquisition of Icons, In Proceedings of the 5th IS&T’s Archiving Conference (Archiving 2008), Bern, Switzerland, June 24–27, 2008, pp. 150–154.

Bochko V., Parkkinen J., Hauta-Kasari M.,Jääskelainen T.: Spectral Color Image Segmentation Using Hidden Markov Models, In Proceedings of the 4th European Conference on Colour in Graphics, Imaging, and Vision, (CGIV2008), Terrassa-Barcelona, Spain, June 9–13, 2008, pp.467–470.

Miyata K., Laamanen H., Jääskelainen T., Hauta-Kasari M., Parkkinen J.: Application of spectral information for investigation of cultural properties – A detection method of metameric color areas, Journal of the Society of Photographic Science and Technology of Japan, Vol. 71(4), 2008, pp. 276–286.

Koirala P., Hauta-Kasari M., Martinkauppi B., Hiltunen J.: Color Mixing and Color Separation of Pigments with Concentration Prediction, Color Research and Application, Vol. 33(6), 2008, pp. 461–469.

Kohonen O., Hauta-Kasari M., Parkkinen J., Jääskelainen T.: The Effect of Illuminant Changes on Spectral Image Queries, Journal of Imaging Science and Technology, Vol. 51(2), 2008, pp. 020601–1–7.

Kohonen O.,Hauta-Kasari M.: Distance Measures in the Training Phase of Self-Organizing Map for Color Histogram Generation in Spectral Image Retrieval, Journal of Imaging Science and Technology, Vol. 51(2), 2008, pp. 020201–1–11.

2007

Stigell P., Miyata K., Hauta-Kasari M.: Wiener Estimation Method in Estimating of Spectral Reflectance from RGB Images, Pattern Recognition and Image Analysis,Pattern Recognition and Image Analysis, Vol. 17(2), 2007, pp. 232–242.

Martinkauppi B., Doronina E., Piironen J., Jääskelainen T. and Parkkinen J.: Novel system for semiautomatic image segmentation of arctic charr. Journal of Electronic Imaging, Vol. 16(3), 2007, pp. 033012:1–8.

Heikkinen V., Jetsu T., Parkkinen J., Hauta-Kasari M., Jääskelainen T., Lee S.: Regularized learning framework in the estimation of reflectance spectra from camera responses. Journal of the Optical Society of America A, Vol. 24(9), 2007, pp. 2673–2683.

Fauch L., Nippolainen E., Kamshilin A., Hauta-Kasari M., Parkkinen J. and Jääskelainen T.: Optical Implementation of Precise Color Classification Using Computer Controlled Set of Light Emitting Diodes. Optical Review, Vol. 14(4), 2007, pp. 243–245.

Makinen O., Jääskelainen T. and Parkkinen J.: Improving optical properties of printing papers with dyes: A theoretical study. Nordic Pulp and Paper Research Journal, Vol. 22(2), 2007, pp.236–243.

Makinen M., Happonen J., Sahivirta J., Hartus T., Paltakari J., Jääskelainen T. and Parkkinen J.: Colour Difference Model for Estimating Print-Through. Journal of Pulp and Paper Science, Vol. 33(1), 2007, pp.35–43.

Lensu L., Frydrych M., Parkkinen J., Parkkinen S. and Jääskelainen T.: Color-Sensitive Biosensors for Imaging Applications. In: Knopf G.K., Bassi A.S. (Eds.): Smart Biosensor Technology, CRC Press, Boca Raton, FL, USA, 2007.

Antikainen J., Hauta-Kasari M., Parkkinen J. and Jääskeläinen T.: Automated Spectral Image Measurement. Ninth International Symposium on Multispectral Colour Science and Application, mcs’07, Taipei, Taiwan, May 30–June 1, 2007, pp.195–200.

Jetsu T., Heikkinen V., Pogosova A., Jääskeläinen T. and Parkkinen J.: Cone Ratio in Color Vision Models. IEEE 14th International Conference on Image Analysis and Processing, ICIAP 2007 Workshops, Modena, Italy, September 11–13, 2007, pp.179–182.

Ukishima M., Tsumura N., Nakaguchi T., Hauta-Kasari M., Parkkinen J., and Miyake Y.: Efficient and Accurate MTF Measurement for Spatially Nonuniform Paper. International Conference on Digital Printing Technologies and Digital Fabrication, NIP23, Alaska, U.S.A., September 16–21, 2007, pp. 571–576.

Pogosova, A., Jetsu, T., Heikkinen, V., Hauta-Kasari, M., Jääskeläinen T. and Parkkinen, J.: Spectral Images and the Retinex Model. The 9th International Symposium on Multispectral Colour Science and Application, Taipei, Taiwan, May 30–June 1, 2007, pp. 80–85.

Hauta-Kasari M., Wisniewski D., Kinnunen J., Mutanen J., Hiltunen J., Parkkinen J., andJääskeläinen T.: Spectral Color in Industrial Applications, in Proceedings The Seventh Finnish-Japanese Joint Symposium on Optics in Engineering (OIE’07), Tampere, Finland, August 8–10, 2007, pp. 39–40.

Koirala P.,Hauta-Kasari M., Martinkauppi B., and Hiltunen J.: Color Mixing and Color Separation of Pigments with Concentration Prediction, in Proceedings from Gjovik Color Imaging Symposium 2007, Institutt for Informatikk og Medieteknikk, Rapportserie nr. 4, June 14–15, 2007, pp. 56–62.

Hauta-Kasari M., Kinnunen J., Mutanen J., Parkkinen J., Jääskelainen T. and Lahtinen T.: Fluorescent Diagnostics of Nail Diseases, in Proceedings of the 3rd Russian-Finnish Meeting, Photonics and Laser Symposium, Moskow, Russia, June 14–17, 2007, pp. 22–23.

Hauta-Kasari M.: Industrial Applications of Spectral Color Technology, in Proceedings of the 9th International Symposium on Multispectral Colour Science and Application, Taipei, Taiwan, May 30–June 1, 2007, pp. 73–79 (Invited paper)

Pogosova A.,Jetsu T., Heikkinen V., Hauta-Kasari M., Jääskeläinen T. and Parkkinen J.: Spectral Images and the Retinex Model, in Proceedings of the 9th International Symposium on Multispectral Colour Science and Application, Taipei, Taiwan, May 30 –June 1, 2007, pp. 80–85.

Kohonen O. and Hauta-Kasari M.: Retrieval from a Spectral Image Database by Reconstructed Spectral Images and the Combinations of Inner Product Images, in Proceedings of the 9th International Symposium on Multispectral Colour Science and Application, Taipei, Taiwan, May 30– June 1, 2007, pp. 67–72.

Kohonen O. and Hauta-Kasari M.: Spectral Image Retrieval using Munsell Data and Unsupervised Classification Methods, in Proceedings of the 9th International Symposium on Multispectral Colour Science and Application, Taipei, Taiwan, May 30–June 1, 2007, pp. 201–207.

Hauta-Kasari M.: Spectral Color in Image Quality, in Proceedings of the Second International Workshop on Image Media Quality and its Applications, Chiba, Japan, March 9–10, 2007. (Invited paper)

Antikainen J., Hauta-Kasari M., Parkkinen J., Jääskelainen T.: Using two line scanning based spectral cameras simultaneously in one measurement process to create a wider spectral area from the measured target. In Proceedings of the IEEE International Workshop on Imaging, Systems and Techniques – IST 2007, Krakov, Poland, May 4–5, 2007.

2006

Hauta-Kasari M., Lehtonen J., Parkkinen J., Jääskelainen T.: Image Format for Spectral Image Browsing. The Journal of Imaging Science and Technology, Vol. 50(6), Nov/Dec 2006, pp. 572–582.

Lehtonen J., Parkkinen J., Jääskelainen T.: Optimal sampling of color spectra. Journal of the Optical Society of America A, Vol. 23(12), 2006.

Krasavin K., Parkkinen J., Jääskelainen T.: Visual quality of watermarking for mobile devices. Journal of the Society for Information Display, Vol. 14(6), 2006, pp. 575–580.

Kohonen O., Parkkinen J., Jääskelainen T.: Databases for spectral color science. Color Research and Application, Vol. 31(5), 2006, pp. 381–390.

Bochko V. and Parkkinen J.: A Spectral Color Analysis and Colorization Technique. IEEE Computer Graphics and Applications, Vol. 26(5), 2006, pp. 74–82.

Rönkkö T., Tervo A.J., Parkkinen J., Poso A.: BRUTUS: Optimization of a grid-based similarity function for rigid-body molecular superposition. II. Description and characterization. Journal of Computer-aided Molecular Design, Vol. 20(4), 2006, pp. 227–236.

Laamanen H., Jääskelainen T., and Parkkinen J.: Conversion between the reflectance spectra and the Munsell notations. Color Research and Applications, Vol. 31(1), 2006, pp. 57–66.

Bochko V., Miyake Y. and Parkkinen J.: Learning Techniques in Imaging System Design and Spectral Image Processing. CGIV 2006, 3rd European Conference on Colour in Graphics, Imaging, and Vision, Leeds, United Kingdom, June 19–22, 2006, pp. 452–457.

Jetsu T., Heikkinen V., Parkkinen J., Hauta-Kasari M., Martinkauppi B., Seong Deok Lee, Hyun Wook Ok and Chang Yeong Kim: Color Calibration of Digital Camera Using Polynomial Transformation. CGIV 2006, 3rd European Conference on Colour in Graphics, Imaging, and Vision, Leeds, United Kingdom, June 19–22, 2006, pp. 163–166.

Lehtonen J., Andriyashin A., Parkkinen J., Leisti T. and Nyman G.: Functions of images. Proceedings of SPIE, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, Volume 6384, Boston, Massachusetts, USA, October 3–4, 2006, pp. OW-1-OW-10.

Miyata K., Laamanen H., Jääskeläinen T., Hauta-Kasari M. and Parkkinen J.: A Technique for Detecting Metameric Color Areas for the Investigation of Historical Materials. Spectral Imaging: Eighth International Symposium on Multispectral Color ScienceProceedings of SPIE-IS&T, Vol. 6062, San Jose, California, USA, January 15–19, 2006, pp. 60620L–1–8.

Kohonen O., Hauta-Kasari M.: Importance of the Texture Features in a Query from a Spectral Image Database, in Spectral Imaging: Eight International Symposium on Multispectral Color Science, Mitchell Rosen, Francisco Imai, Shoji Tominaga, Editors, Proceedings of SPIE Vol. 6062, Electronic Imaging 2006, San Jose, California, USA, January 16–17, 2006.

Purmonen J., Hauta-Kasari M., Tuomela J., Fukuda H., Mitsui M., Yamaguchi M.: Spectral Video Infraframe Compression and Database, in Spectral Imaging: Eight International Symposium on Multispectral Color Science, Mitchell Rosen, Francisco Imai, Shoji Tominaga, Editors, Proceedings of SPIE Vol. 6062, Electronic Imaging 2006, San Jose, California, USA, January 16–17, 2006.

Härkönen L., Martinkauppi J.B., Laamanen H., Hauta-Kasari M., Huhtelin P., Horttanainen P.: Spectral based Optimization of Screen Images for Industrial Product Presentation, in Spectral Imaging: Eight International Symposium on Multispectral Color Science, Mitchell Rosen, Francisco Imai, Shoji Tominaga, Editors, Proceedings of SPIE Vol. 6062, Electronic Imaging 2006, San Jose, California, USA, January 16–17, 2006.

2005

Jetsu T., Hertzog P., Jääskelainen T., and Parkkinen J.: Standardization of Spectral Image Formats. Pattern Recognition and Image Analysis, Vol. 15(3), 2005, pp. 618–620.

Kohonen O., Jääskelainen T., Hauta-Kasari M., Parkkinen J., Miyazawa, K.: Organizing Spectral Image Database Using Self-Organizing Maps. The Journal of Imaging Science and Technology, Vol. 49(4), July/August 2005, pp. 431–441.

Mäkinen M., Parkkinen J., and Jääskelainen T.: Generalized opacity based on CIELAB colour coordinates and the CIE94 colour difference formula. Journal of Pulp and Paper Science, Vol. 31(1), January–March 2005, pp. 61–67.

Mutanen J., Jääskelainen T., Parkkinen J.: Thermochromism of fluorescent colors. Color Research and Application,  Vol. 30(3), June 2005, pp. 163–171.

Botchko V. and Parkkinen J.: Highlight analysis using a mixture model of probablistic PCA. WSEAS transactions on Systems, Vol.4(1), Jan 2005, pp. 55–59.

Jetsu, T., Hertzog, P., Yamaguchi, M., Jääskeläinen, T. and Parkkinen, J.: Standardization of Multispectral Image Formats. AIC Colour 05, 10th Congress of the International Colour AssociationGranada, Spain, 8-13 May, 2005, pp. 125–128.

Kohonen, O., Parkkinen, J. and Jääskeläinen T.: Databases for Spectral Color Science. AIC Colour 05, 10th Congress of the International Colour Association, Granada, Spain, 8-13 May, 2005, pp. 1649–1652.

Majaniemi, H., Laamanen, H., Parkkinen, J. and Jääskeläinen, T.: Ellipse method in image visual quality estimation. AIC Colour 05, 10th Congress of the International Colour Association, Granada, Spain, 8–13 May 2005, pp. 1123–1126.

Miyata, K., Laamanen, H., Jääskeläinen T., Hauta-Kasari, M. and Parkkinen, J.: Application of Spectral Information to Investigate Historical Materials – Detection of Metameric Color Area in Icon Images -. Image Analysis, 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005, pp. 369–378.

Hauta-Kasari M.: InFotonics Center Joensuu, in Proceedings of the 2nd Photonics and Laser Symposium, Kajaani, Finland, February 23–25, 2005, pp. 16–17. (Invited paper)

Piirainen P., Härkönen L., Laamanen H., Hauta-Kasari M.: Colour calibration and characterization for real world application,in Proceedings of the 10th Congress of the International Colour Association, AIC Color 05 Granada, Spain, May 8–13, 2005, pp. 1199–1202.

2004

Orava, J., Jääskelainen, T. and Parkkinen, J.: Color errors of digital cameras. Color Research and Applications, Vol. 29(3), June 2004, pp. 217–221.

Lensu, L., Frydrych, M., Parkkinen, J., Parkkinen, S. and Jääskelainen, T.: Photoelectric properties of bacteriorhodopsin analogs for color-sensitive optoelectronic device. Optical Materials, Vol. 27(1), October 2004, pp. 57–62.

Kohonen O., Hauta-Kasari M., Miyazawa K., Parkkinen J., and Jääskelainen T.: Methods to organize spectral image database. Proceedings of Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science (CGIV 2004), Aachen, Germany, April 2004, pp. 372–375.

Laamanen, H., Miyata, K., Hauta-Kasari, M., Parkkinen, J. and Jääskeläinen, T.: Imaging Spectrograph Based Spectral Imaging System. Proceedings of Second European Conference on Color in Graphics, Imaging, and Vision, and Sixth International Symposium on Multispectral Color Science (CGIV 2004), Aachen, Germany, April 2004, pp. 427–430.

Kaarna A. and Parkkinen J.: Multiwavelets in Watermarking Spectral Images. Proceedings of the International Geoscience and Remote Sensing Symposium, IGARSS’04, Vol. V, Anchorage, Alaska, 20–24 September, 2004, pp. 3225–3228.

Stigell P., Miyata K. and Hauta-Kasari M: Wiener estimation method in estimation of spectral reflectance from rgb images, in Proceedings of the 7th International Conference on Pattern Recognition and Image Analysis (PRIA-7-2004), St. Petersburg, Russia, October 18–23, 2004, pp. 398–401.

Laamanen H., Kohonen O., Tamminen K., Hauta-Kasari M., Parkkinen J., and Jääskeläinen T.: Spectral Imaging System Using Narrow Band Grating, in Proceedings of Optics Days 2004, Turku, Finland, May 6–7, 2004, p. 39.

Purmonen J., Hauta-Kasari M., Tuomela J.: Comparison of Wavelet and PCA Compression Methods for Spectral Images, in Proceedings of the 12th IS&T/SID Color Imaging Conference (CIC), The SunBurst Resort, Scottsdale, Arizona, USA, November 9–12, 2004, pp. 136–139.

2003

Toivanen, P., Ansamäki, J., Parkkinen, J. and Mielikäinen, J.: Edge detection in multispectral images using the self-organizing map. Pattern Recognition Letters, Vol. 24(16), 2003, pp. 2987–2994.

Lensu L., Parkkinen J., Parkkinen S., Frydrych M., and Jääskelainen T.: Photoelectrical properties of protein-based optoelectronic sensor. Optical Materials, Vol. 21(4), Feb 2003, pp. 783–788.

Koponen, P., Kälviäinen, H. and Parkkinen, J.: Spectral Video. Pattern Recognition and Image Analysis, Vol. 13(3), 2003, pp. 409–416.

Botchko V., Berina E., Korotkaya Z., Parkkinen J., and Jääskelainen T.: Independent Component Analysis in Spectral Images. Proceedings of the Fourth International Symposium on Independent Component Analysis and Blind Signal Separation ICA 2003, Nara, Japan, April 1–-4, 2003, pp. 203–207.

Kaarna A. and Parkkinen J.: Digital Watermarking of Spectral Images with Three-Dimensional Wavelet Transform. Proceedings of the Scandinavian Conference on Image Analysis, SCIA 2003, Göteborg, Sweden, 29 June-2 July, 2003, pp. 320–327.

Hauta-Kasari M., Miyazawa K., Toyooka S., Parkkinen J., and Jääskelainen T.: Spectral Image Acquisition with Rewritable Color Filters, in Proceedings, The Digital Photography Conference, PICS 2003, Rochester, New York, USA, May 13–16, 2003, pp. 166–170.

Hauta-Kasari M., Miyazawa K.,Parkkinen J.,Jääskelainen T.: Searching Technique in a Spectral Image Database, in Proceedings, the 13th Scandinavian Conference on Image Analysis (SCIA 2003), Göteborg, Sweden, June 29–July 2, 2003, Lecture Notes in Computer Science 2749, J. Bigun and T. Gustavsson, Eds., Springer 2003, pp. 927–933.

2002

Kaarna A., Parkkinen J.: Quality Metric for Multispectral Image Compression. Journal of the Imaging Society of Japan, Vol. 41(4), 2002, pp.379–391.

Hiltunen J., Silfsten P., Jääskelainen T., Parkkinen J.P.S.: A qualitative description of thermochromism in color measurements. Color Research and Applications, Vol. 27(4), 2002. pp. 271–275.

Manabe Y., Parkkinen J., Jääskelainen T., and Chihara K.: Three Dimensional Measurement using Color Structured Patterns and Imaging Spectrograph. The 16th International Conference on Pattern Recognition (ICPR2002), Québec, Canada, August 11–15, 2002.

Botchko V., Jääskelainen T., and Parkkinen J.: Multispectral Texture Model for Color and Highlight Reproduction. The First European Conference on Color in Graphics, Imaging, and Vision, CGIV’2002, Poitiers, France, April 2–5, 2002, pp. 603–607.

Botchko V., Parkkinen J., Kälviäinen H., and Jääskelainen T.: Local De-texturing Technique in Multispectral Image Compression. Proceedings of the International Congress of Imaging Science, Tokyo, Japan, May 13–17, 2002, pp. 488–489.

Kaarna A. and Parkkinen J.: Correlation of Blockwise Filtering to Visual Quality in Lossy Compression of Multispectral Images. Proceedings of International Congress of Imaging Science, ICIS’02, Tokyo, Japan, May 13–17, 2002, pp. 391–392.

Koponen P., Jääskelainen T., and Parkkinen J.: Coding of Multispectral Color Image Sequences. Proceedings of the International Congress of Imaging Science, Tokyo, Japan, May 13–17, 2002, pp. 481–483.

Laamanen H., Jääskelainen T., and Parkkinen J.: Color Spectra Mapping into Munsell Color Space. Proceedings of the International Congress of Imaging Science, Tokyo, Japan, May 13–17, 2002, pp. 405–406.

Miyazawa K., Hakkarainen J., Parkkinen J., and Jääskelainen T.: Ordering of color spectra for digital image enhancement. International Congress of Imaging Science (ICIS’02), Tokyo, Japan, May 13–17, 2002.

Mutanen J., Jääskelainen T., and Parkkinen J.: Thermochromism of fluorescent colors. Proceedings of the International Congress of Imaging Science, Tokyo, Japan, May 13–17, 2002, pp. 429–430.

Nakao D., Tsumura N., Hauta-Kasari M., Parkkinen J., and Miyake Y.: Developing Java SDK for Spectral Image Delivering Based on Generalized Color Matching Function. International Congress of Imaging Science (ICIS’02), Tokyo, Japan, May 13–17, 2002, pp. 484–485.

Parkkinen J. and Jääskelainen T.: Spectral Imaging. Proceedings of the International Congress of Imaging Science, Tokyo, Japan, May 13–17, 2002, pp. 483–484.

Miyazawa K., Kurashiki K., Hauta-Kasari M., and Toyooka S.: Broad-band color filters with arbitrary spectral transmittance using a Liquid Crystal Tunable Filter (LCTF), in 9th Congress of the International Colour Association, AIC Color 01 Rochester, Rochester, NY, USA, June 24–29, 2001, Proceedings of SPIE Vol. 4421, pp. 753–756 (2002).

Hauta-Kasari M. and Karttunen P.: Broad-band Color Filter Design for Spectral Camera, in Proceedings, International Conference on Imaging Science, ICIS’02, Tokyo, Japan, May 13–17, 2002, pp. 486–487.

2001

Vanhanen J., Parkkinen S., Leppanen V. P., Jääskelainen T., and Parkkinen J.P.S.: Grating Formation in 13-demethyl Bacteriorhodopsin Film. Optical Review, Vol. 8(5), 2001, pp. 368–372.

Kaarna A. and Parkkinen J.: Tansform Based Lossy Compression of Multispectral Images. Pattern Analysis & Applications, Vol. 4(1), 2001, pp 39–50.

Kukkonen S., Kälviäinen H., and Parkkinen J.: Color features for quality control in ceramic tile industry. Optical Engineering, Vol. 40(2), Feb 2001, pp. 170–177.

Vanhanen J., Leppänen V.P., Jääskelainen T., Parkkinen S., and Parkkinen J.P.S.: Optical anisotropy in photoactive yellow protein film. Optics Communications, Vol. 187(1–3), Jan 2001, pp. 283–288.

Hauta-Kasari M., Lehtonen J., Parkkinen J., and Jääskelainen T.: Spectral Image Compression for Data Communications. Color Imaging: Device-Independent Color, Color Hardcopy, and Graphics Arts VI, Reiner Eschbach, Gabriel G. Marcu, Editors, Proceedings of SPIE Vol. 4300, 2001, pp. 42–49.

Frydrych M., Lensu L., and Parkkinen J.: Model of photovoltage response of bacteriorhodopsin in pva films. Technical Proceedings of the 2001 International Conference on Computational Nanoscience, ICCN’2001, Hilton Head Island, South Carolina, U.S.A., March 19–21, 2001, pp. 17–20.

Lensu L., Frydrych M., Aschi C., Parkkinen J., Parkkinen S., and Jääskelainen T.: Towards color sensitivity of protein based artificial retina. Technical Proceedings of the 2001 International Conference on Computational Nanoscience, ICCN’2001, Hilton Head Island, South Carolina, U.S.A., March 19–21, 2001, pp. 5–8.

Kaarna A. and Parkkinen J.: Wavelet Filter Selection Based on Spectral Features in Multispectral Image Compression. Image and Signal Processing for Remote Sensing VI, Sebastiano B. Serpico, Editor, Proceedings of SPIE, Vol. 4170, 2001, pp. 194–202.

Hauta-Kasari M., Lehtonen J., Parkkinen J., and Jääskelainen T.: Representation of Spectral Images in Data Communications. 9th Congress of the International Colour Association, AIC Color 01 Rochester, Rochester, NY, USA, June 24–29, 2001, Proceedings of SPIE Vol. 4421, pp. 500–503 (2002).

Kuroiwa T., Miyazawa K., Tsumura N., Hauta-Kasari M., Ojima N., Toyooka S., Miyake Y.: Color calibration of digital camera for skin color reproduction using variable optical color patch, in Proceedings, The 3rd Symposium of the ‘Color’ of Digital Imaging in Biomedicine, Tokyo, Japan, July 14, 2001, pp. 6–7. (in Japanese).

Kuroiwa T., Miyazawa K., Tsumura N., Ojima N., Hauta-Kasari M., Toyooka S., Miyake Y.: Camera calibration using variable optical color patch with a spectral color reproduction, Abstract in Proceedings, The Japan Society of Applied Physics and Related Societies, 48th Spring Meeting, Tokyo, Japan, March 28–31, 2001. (in Japanese).

Miyazawa K., Hauta-Kasari M., Toyooka S.: Rewritable Broad-band Color Filters for Spectral Image Analysis, Optical Review, Vol. 8(2), March / April 2001, pp. 112–119.

2000

Kaarna A., Zemcik P., Kälviäinen H., and Parkkinen J.: Compression of Multispectral Remote Sensing Images Using Clustering and Spectral Reduction. IEEE Transactions on Geoscience and Remote Sensing, vol. 38(2), March 2000, pp. 1073–1082.

Frydrych M., Silfsten P., Parkkinen S., Parkkinen J., and Jääskelainen T.: Color sensitive retina based on bacteriorhodopsin. BioSystems, vol. 54(3) 2000, pp. 131–140.

Botchko V., Nakauchi S., Parkkinen J., and Kälviäinen H.: Multispectral texture derivation in virtual coloring. In M. Pietikäinen (Ed.) Texture Analysis in Machine Vision, World Scientific Publishing Co., Singapore, 2000.

Ansamäki J., Toivanen P., and Parkkinen J.: New multispectral edge detection methods based on roughness and differential Prewitt. Proceedings of European Signal Processing Conference, Tampere, Finland, September 5–8, 2000, pp. 1349–1352.

Botchko V., El-Gindy S., Parkkinen J., and Kälviäinen H.: Statistical, principal, and independent component analysis in multispectral texture study. Proceedings, First International Conference on Color in Graphics and Image Processing, CGIP’2000, Saint-Etienne, France, October 1–4, 2000, pp. 210–213.

Botchko V., Parkkinen J., and Kälviäinen H.: Relationship between color and texture in multispectral image reproduction. Proceedings of TV 2000, St Petersburg, Russia, June 20–22, 2000, pp. 4–6.

Hauta-Kasari M., Miyazawa K., Toyooka S., Lehtonen J., Parkkinen J., and Jääskeläinen T.: Spectral based Color Image Acquisition and Analysis. Proceedings, Color Forum Japan 2000, Tokyo, Japan, November 16–17, 2000, pp. 59–66.

Hauta-Kasari M., Parkkinen J., and Jääskeläinen T.: Unsupervised Spectral Image Segmentation. Proceedings, First International Conference on Color in Graphics and Image Processing, CGIP’2000, Saint-Etienne, France, October 1–4, 2000, pp. 84–88.

Jääskeläinen T., Parkkinen J., Hiltunen J., and Hauta-Kasari M.: Spectral approach to color and color images. Proceedings of the ICO Topical Meeting on Optics for Sustainable Development, April 10–14, Dakar, Senegal, 2000, pp. 33a–33d.

Kaarna A. and Parkkinen J.: Blockwise distortion measure for lossy compression of multispectral images. Proceedings of European Signal Processing Conference, Tampere, Finland, September 5–8, 2000, pp. 2197–2200.

Kaarna A. and Parkkinen J.: Comparison of compression methods for multispectral images. Nordic Signal Processing Symposium, NORSIG 2000, Kolmården, Sweden, June 13–June 15, 2000, pp. 251–254.

Kaarna A. and Parkkinen J.: Wavelet Filter Selection in Multispectral Image Compression. Proceedings of International Conference on Pattern Recognition, Barcelona, Spain, September 3–8, 2000, pp. 246–249.

Koponen P., Kälviäinen H., and Parkkinen J.: Multispectral Video. Proceedings of International Conference on Pattern Recognition, Barcelona, Spain, September 3–8, 2000, pp. 190–193.

Laamanen H., Jääskeläinen T., and Parkkinen J.P.S.: Comparison of PCA and ICA in color recognition. Proceedings of Intelligent Robots and Computer Vision, SPIE vol. 4197, Boston, USA, November 7–8, 2000, pp. 367–377.

Lensu L., Parkkinen J., Parkkinen S., Palviainen M., and Jääskelainen T.: Basic photoelectrical properties of protein based artificial retina. Proceedings of Intelligent Systems and Applications, ISA’2000, Wollongong, Australia, 12–15 December 2000, pp. 1001–1005.

Parkkinen J., Hauta-Kasari M., Kaarna A., Lehtonen J., Koponen P., and Jääskelainen T.: Multispectral Image Compression. Proceedings, Second International Symposium on Multispectral Imaging and High Accurate Color Reproduction, Chiba, Japan, October 10–11, 2000, pp. 49–58.

Toyooka S., Miyazawa K., Hauta-Kasari M.: Low-dimensional multispectral image analyzing system with optimized broad-band filters, in Proceedings, Second International Symposium on Multispectral Imaging and High Accurate Color Reproduction, Chiba, Japan, October 10–11, 2000, pp. 59–66.

Hauta-Kasari M., Wenjun W., Miyazawa K., Toyooka S., Parkkinen J.,Jääskeläinen T.: Computational Technique to Design Color Filters for Optical Pattern Recognition, in Proceedings, The 9th Finnish Artificial Intelligence Conference, STeP 2000, Espoo, Finland, August 28–30, 2000, Vol. 3, pp. 151–158.

1999

Nakauchi S., Silfsten P., Parkkinen J., and Usui S.: A computational theory of color transparency: Recovery of spectral properties for overlapping surfaces. Journal of the Optical Society of America A, Vol. 16(11), 1999, pp. 2612–2624.

Hauta-Kasari M., Miyazawa K., Toyooka S., Parkkinen J.: Spectral Vision System for Measuring Color Images. Journal of the Optical Society of America A, Vol. 16(10), 1999, pp. 2352–2362.

Hauta-Kasari M., Parkkinen J., Jääskelainen T., Lenz R.: Multispectral Texture Segmentation Based on the Spectral Cooccurrence Matrix. Pattern Analysis and Applications, Vol. 2(4) 1999, pp. 275–284.

Toivanen P., Vepsäläinen A. and Parkkinen J.: Image compression using the distance transform on curved space (DTOCS) and Delanay triangulation. Pattern Recognition Letters, Vol. 20(10), 1999, pp. 1015–1026.

Vanhanen J., Leppanen V.P., Jääskelainen T., Parkkinen S., Parkkinen J.P.S.: Nonlinear transmittance of the 4-keto bacteriorhodopsin. Optical Materials, 12, 1999, pp. 473–480.

Leppanen V.P., Haring T., Jääskelainen T., Vartiainen E., Parkkinen S., and Parkkinen J.P.S.: The intensity dependent refractive index change of photochromic proteins. Optics Communications, 163, 1999, pp. 189–192.

Toivanen P.J., Ansamäki A., Leppäjärvi S., and Parkkinen J.P.S.: Multispectral Edge Detection Using the 2-Dimensional Self-Organizing Map. Proceedings of the Electronic Imaging ’99: Applications of Artificial Neural Networks in Image Processing, San Jose, California, USA, January 27–29, 1999. pp. 103–110.

Hauta-Kasari M., Miyazawa K., Toyooka S., and Parkkinen J.: A Prototype of the Spectral Vision System. 11th Scandinavian Conference on Image Analysis, SCIA’99, Kangerlussuaq, Greenland, June 7–11, 1999, Vol. 1, pp. 79–86.

Kaarna A. and Parkkinen J.: Multivawelets in Image Compression. 11th Scandinavian Conference on Image Analysis, SCIA’99, Kangerlussuaq, Greenland, June 7–11, 1999, Vol. 1, pp. 327–334.

Frydrych M. and Parkkinen J.: Uniform Color Spaces for Color Sensors. 11th Scandinavian Conference on Image Analysis, SCIA’99, Kangerlussuaq, Greenland, June 7–11, 1999, Vol. 1, pp. 465–470.

Nakauchi S., Usui S., Parkkinen J., and Silfsten P.: A Computational Theory of Color Transparency. 11th Scandinavian Conference on Image Analysis, SCIA’99, Kangerlussuaq, Greenland, June 7–11, 1999, Vol. 2, pp. 561–568.

Botchko V., Auvinen J., Mäkinen O., Kälviäinen H., and Parkkinen J.: Parametric Multispectral Texture Modeling. 11th Scandinavian Conference on Image Analysis, SCIA’99, Kangerlussuaq, Greenland, June 7–11, 1999, Vol. 2, pp. 763–769.

Voracek J., Kälviäinen H., and Parkkinen J.: Image Standardization in Automated Optical Microscopy. 11th Scandinavian Conference on Image Analysis, SCIA’99, Kangerlussuaq, Greenland, June 7–11, 1999, Vol. 2, pp. 873–880.

Botchko, V., Nakauchi, S., Parkkinen, J., and Kälviäinen, H.: Virtual Coloring of Texture. Infotech Oulu Workshop on Texture Analysis in Machine Vision, Oulu, Finland, June 14–15, 1999, pp. 165–171.

Kukkonen, S., Kälviäinen, H., and Parkkinen, J.: Visual Inspection by Spectral Features in Ceramics Industry. International Symposium on Industrial Lasers & Inspection, Conference on Polarisation and Colour Techniques in Industrial Inspection, Munich, Germany, June 14–18, 1999, pp. 64–75.

Hauta-Kasari M., Miyazawa K., Toyooka S., and Parkkinen J.: Spectral Measurements of Two-Dimensional Color Images. Proceedings of SPIE, International Conference on Optical Engineering for Sensing and Nanotechnology, ICOSN’99, Yokohama, Japan, June 16–18, 1999, SPIE Vol. 3740, pp. 204–207.

Tuomainen V., Parkkinen J., Mölsä H., and Lindquist O.V.: Remote Sensing. Chapter 3 in Lindquist O.V., Mölsä H., and Sarvala J. (eds.): Lake Tanganyika Research: Summary of Scientific Program 1992-1998. FAO/FINNIDA Research for the Management of the Fisheries on Lake Tanganyika. GCP/RAF/271/FIN-TD/94(En), Bujumbura, June 1999, 102 pages.

Hiltunen J., Jääskelainen T., Parkkinen J.P.S.: Accurate spectral color measurements.Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, 20-21 September 1999, Boston, Massachusetts, Proceedings of SPIE, Vol. 3837, 1999, pp. 202–209.

Hauta-Kasari M., Miyazawa K., Toyooka S., Parkkinen J., Jääskelainen T.: Spectral Vision System based on Rewritable Broad Band Color Filters, in Proceedings, International Symposium on Multispectral Imaging and Color Reproduction for Digital Archives, MICR’99, Chiba, Japan, October 21–22, 1999, pp. 155–158.

Miyazawa K., Hauta-Kasari M., Toyooka S.: Spectral Image Analysis of a Natural Color Sample using Rewritable Transparent Broad-Band Filters, in Proceedings, International Symposium on Multispectral Imaging and Color Reproduction for Digital Archives, MICR’99, Chiba, Japan, October 21–22, 1999, pp. 110–113.

Miyazawa K., Hauta-Kasari M., Toyooka S.: Spectral Image Analysis of a Sample under Sunlight Illumination using Rewritable Transparent Broad-band Filters, Abstract in Proceedings, The Japan Society of Applied Physics, 60th Autumn Meeting, Kobe, Japan, September 1–4, 1999, Vol. 3, p. 871. (in Japanese).

Miyazawa K., Hauta-Kasari M., Toyooka S.: Rewritable Broadband Filters for Color Image Analysis, in Proceedings of SPIE, International Conference on Optical Engineering for Sensing and Nanotechnology, ICOSN’99, Yokohama, Japan, June 16-18, 1999, SPIE Vol. 3740, pp. 468–471.

Miyazawa K., Hauta-Kasari M., Toyooka S.: Spectral Measurement of Color Images using Transparent Broad Band Filters, Abstract in Proceedings, The Japan Society of Applied Physics and Related Societies, 46th Spring Meeting, Chiba, Japan, March 28–31, 1999, Vol. 3, p. 1070. (in Japanese).

Hauta-Kasari M., Miyazawa K., Toyooka S., Jaaskelainen T., Parkkinen J.: Spectral Vision System, In Proceedings, XXXIII Annual Conference of the Finnish Physical Society, Turku, Finland, March 4–6, 1999, paper 2.4.

Hauta-Kasari M., Miyazawa K., Toyooka S., Parkkinen J.: Spectral Vision System for Color Image Analysis, in Proceedings, Third International Symposium on “Optics in Engineering”, Kajaani, Finland, January 19–21, 1999, paper F3.

Miyazawa K., Hauta-Kasari M., Toyooka S.: Optical Implementation of Transparent Broad Band Filters for Spectral Image Analysis, in Proceedings, Third International Symposium on “Optics in Engineering”, Kajaani, Finland, January 19–21, 1999, paper P15.

Lenz R., Meer P., Hauta-Kasari M.: Spectral-Based Illumination Estimation and Color Correction, Color Research and Application, Vol. 24(2), April 1999, pp. 98–111.

1998

Vanhanen J., Leppanen V.P., Haring T., Kettunen V., Jääskelainen T., Parkkinen S., Parkkinen J.P.S.: Nonlinear refractive index change of photoactive yellow protein. Optics Communications, 155, 1998, pp. 327–331.

Vanhanen J., Leppanen V.P., Jääskelainen T., Parkkinen S., and Parkkinen J.P.S.: Photochromic properties of photoactive yellow protein. Optics Communications, 153, 1998, pp.289–294.

Frydrych M., Silfsten P., Parkkinen S., Parkkinen J. and Jääskelainen T.: Color recognition with Bacteriorhodopsin. Pacific Symposium on Biocomputing, January 4–9, 1998, Hawaii, USA.

Hauta-Kasari M., Wang W., Toyooka S., Parkkinen J. and Lenz R.: Unsupervised Filtering of Munsell Spectra. 3rd Asian Conference on Computer Vision, January 8–11, 1998, Hong Kong, P.R.China.

Kaarna, A., Zemcik, P., Kälviäinen, H., and Parkkinen, J.: Multispectral Image Compression. 14th International Conference on Pattern Recognition, Brisbane, Australia, August 17–20, 1998, Vol. 2, pp. 1264–1267.

Toivanen P.J., Ansamäki J., Leppäjärvi S., and Parkkinen J.P.S.: Edge Detection of Multispectral Images Using the 1-D Self-Organizing Map. International Conference on Artificial Neural Networks (ICANN’98), Skövde, Sweden, September 2–4, 1998. pp. 737–742.

Kälviäinen, H., Kukkonen, S., Parkkinen, J., and Hyvärinen, T.: Quality Control in Tile Production. SPIE Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, Boston, MA, USA, November 2–5, 1998, Vol. 3522, pp. 355–365.

Miyazawa K., Hauta-Kasari M., Toyooka S.: Transparent Broad Band Filters using Liquid Crystal Device and Linear Variable Filter, in Proceedings, 22nd Meeting on Lightwave Sensing Technology, Kanagawa, Japan, December 15–16, 1998, pp. 127–131. (in Japanese).

Hauta-Kasari M., Miyazawa K., Toyooka S.: Spectral Vision System for Measuring Color Images, in Proceedings, Optics Japan’98, Okayama, Japan, September 18–19, 1998, pp. 151–152.

Miyazawa K., Hauta-Kasari M., Toyooka S.: Optical Implementation of Transparent Broad Band Filters for Spectral Image Analysis, Abstract in Proceedings, The Japan Society of Applied Physics, 59th Autumn Meeting, Hiroshima, Japan, September 15–18, 1998, Vol. 3, p. 895. (in Japanese).

Hauta-Kasari M., Suprapedi, Parkkinen J., Toyooka S.: Segmentation of Lüders Band from the ESPI Images by Pattern Recognition Method, Abstract in Proceedings, The Japan Society of Applied Physics and Related Societies, 45th Spring Meeting, Tokyo, Japan, March 28–31, 1998, Vol. 3, p. 1024.

1997

Mantere K., Parkkinen J. and Jääskelainen T.: Simulation of white-light adaptation characteristics using nonlinear neural Principal Component Analysis. Journal of Optical Society of America A, Vol. 14(9), 1997, pp. 2049–2056.

Khodonov A.A., Demina O.V., Khitrina L.V., Kaulen A.D., Silfsten P., Parkkinen S., Parkkinen J. and Jääskelainen T.: Modified bacteriorhodopsins as a basis for new optical devices. Sensors and Actuators B, 38–39, 1997, pp. 218–221.

Keinonen T., Riihola P., Leppanen V.P., Parkkinen J. and Jääskelainen T.: Phase conjugation in color additive doped PVA films. Optical Materials, 7, 1997, pp. 95–101.

Hauta-Kasari M., Parkkinen J., Jääskelainen T. and Lenz R.: Spectral based analysis of color images. Proceedings of the 8th Congress of the Colour Association, May 25–30, 1997, Kyoto, Japan, pp. 548–551.

Leppäjärvi S., Silfsten P., Parkkinen J. and Jääskelainen T.: On thermochromism of some materials. Proceedings of the 8th Congress of the Colour Association, May 25–30, 1997, Kyoto, Japan, pp. 450–453.

Mantere K., Parkkinen J. and Jääskelainen T.: Applications of vector-subspace methods to color representation. Proceedings of the 8th Congress of the Colour Association, May 25–30, 1997, Kyoto, Japan, pp. 618–621.

Ovaska P. and Parkkinen J.: A Pictorial Object-Oriented Database architecture for retrieving images by their content. 10th Scandinavian Conference on Image Analysis, June 9–11, 1997, Lappeenranta, Finland, pp. 59–64.

Toivanen P., Vepsäläinen A. M. and Parkkinen J.: Image compression using the DTOCS and Delanay triangulation. 10th Scandinavian Conference on Image Analysis, June 9–11, 1997, Lappeenranta, Finland, pp. 229–236.

Frydrych M., Parkkinen J., Parkkinen S., Silfsten P. and Jääskelainen T.: Model for color perception system with learning capabilities. Proceedings of the International Symposium on Optical Information Science and Technology, August 26–30,1997, Moscow, Russia. SPIE Conference.

Haanpalo J., Silfsten P., Parkkinen J. and Jääskelainen T.: Spectral representation of paper opacity. Proceedings of the Intelligent Robots and Computer Vision XVI, October 14–17, 1997, Pittsburgh, USA. SPIE Conference, pp. 339–347.

Tuomainen V., Mölsä H., Parkkinen J., Patomaki L. and Lindquist O.V.: The NOAA series’ AVHRR radiometer’s capability on revealing water features in Lake Tanganyika. FAO/FINNIDA Research for the Management of the Fisheries on Lake Tanganyika. GCP/RAF/271/FIN-TD/77(En), November 1997, 29 pages.

Hauta-Kasari M., Miyazawa K., Wang W., Toyooka S.: Neural Network Based Color Filter Design and its Optical Implementation for Spectral Pattern Recognition, in Proceedings, 20th Meeting on Lightwave Sensing Technology, Wako, Japan, December 10–11, 1997, pp. 177–182.

Hauta-Kasari M., Wang W., Toyooka S.: Optical Color Filter Design by Neural Networks, in Proceedings, Second International Symposium on Optics in Engineering, Tsukuba, Japan, October 2123, 1997, paper G3.

Hauta-Kasari M.,Wang W., Miyazawa K., Toyooka S.: Color filters for the color reflectance spectra, in Proceedings, Optics Japan’97, Sendai, Japan, September 30–October 1, 1997, pp. 297–298.

Wang W., Hauta-Kasari M., Toyooka S.: Optimal Filters Design for Measuring Colors Using Unsupervised Neural Network, in Proceedings, 8th Congress of the International Colour Association, AIC Color 97, Kyoto, Japan, May 25–30, 1997, Vol. 1, pp. 419–422.

Lenz R., Meer P., Hauta-Kasari M.: Spectral based Illumination Estimation and Color Image Normalization, in Proceedings, 8th Congress of the International Colour Association, AIC Color 97, Kyoto, Japan, May 25–30, 1997, Vol. 2, pp. 503–506.

Lenz R., Meer P., Hauta-Kasari M.: Spectral based Illumination Estimation and Color Correction, in Proceedings, SSAB Symposium, Stockholm, Sweden, March 4–5, 1997, pp. 159–163.

Lenz R., Meer P., Hauta-Kasari M.: Spectral based Illumination Estimation and Color Correction, in Proceedings, 10th Scandinavian Conference on Image Analysis, SCIA’97, Lappeenranta, Finland, June 9–11, 1997, Vol. 2, pp. 885–892.

1996

Lenz R., Österberg M., Hiltunen J., Jääskelainen T. and Parkkinen J.: Unsupervised filtering of color spectra. Journal of the Optical Society of America A, Vol. 13(7), 1996, pp. 1315–1324.

Jääskelainen T., Leppanen V.P., Parkkinen S., Parkkinen J.P.S. and Khodonov A.: The photochromic properties of 4-keto bacteriorhodopsin. Optical Materials, 6, 1996, pp. 339–345.

Hauta-Kasari M., Parkkinen J., Jääskelainen T. and Lenz R.: Generalized Cooccurrence Matrix for Multispectral Texture Analysis. Proceedings of 13th International Conference on Pattern Recognition, August 25–30, 1996, Vienna, Austria. Vol. 2, pp. 785–789.

Silfsten P., Parkkinen S., Luostarinen J., Khodonov A., Jääskelainen T. and Parkkinen J.: Color sensitive biosensors for imaging. Proceedings of 13th International Conference on Pattern Recognition, August 25–30, 1996, Vienna, Austria. Vol. 3, pp. 331–335.

1995

Mantere K., Parkkinen J., Mantyjarvi M. and Jääskelainen T.: Eigenvector interpretation of the Farnsworth-Munsell 100-hue test. Journal of the Optical Society of America A, Vol. 12(10), 1995, pp. 2237–2243.

Silvennoinen R., Jääskelainen T., Nygren K., Hiltunen J. and Parkkinen J.:Temporal, spatial and environmental characteristics of pine reflectance spectra. Environmental Science and Technology, Vol. 29(6),1995, pp.1456–1459.

Lenz R., Österberg M., Hiltunen J., Jääskelainen T. and Parkkinen J.: Unsupervised filtering of color spectra. 9th Scandinavian Conference on Image Analysis, June 6–9, 1995, Uppsala, Sweden. pp. 803–810.

Jääskelainen T., Silfsten P. and Parkkinen J.: Color measurement in industry. 1st Finnish-Japanese Meeting, Optics in Engineering, Lappeenranta June 12–14, 1995. pp. 91–98.

Jääskelainen T., Haanpalo J., Parkkinen J., Silfsten P. and Vuorela J.: Review of spectral color measurement. International Symposium on Intelligent Systems and Advanced Manufacturing, October 22–26, 1995, Philadelphia, USA.

Lenz R., Österberg M., Hiltunen J., Jääskelainen T. and Parkkinen J.: Exploring color spaces with unsupervised filters and Gaussian quadrature. SSAB Conference, Linkoping, 1995.

1994

Jääskelainen T., Silvennoinen R., Hiltunen J., and Parkkinen J.P.S.: Classification of reflectance spectra of pine, spruce and birch. Applied Optics, Vol. 33(12), 1994, pp. 2356–2362.

Parkkinen J., Tuomainen V., Patomaki L., Molsa H., and Lindquist O.: Designing satellite image analyses for the Lake Tanganyika research project. FAO/FINNIDA Research for the Management of the Fisheries on Lake Tanganyika. GCP/RAF/271/FIN-TD/21 (En), June 1994, 28 pages.

Silvennoinen R., Jääskelainen T., Nygren K., Hiltunen J., and Parkkinen J.: Reflectance spectra of pine, spruce and birch grown in polluted environment. Proceedings of Optics in Life Sciences conference, 1994, Elsevier Science Publisher, pp. 333–336.

Parkkinen J., Mantynen M. and Jääskelainen T.: Spectroscopic approach to color vision. Proceedings of the Workshop on Machine Vision for Advanced Production, June 2–3, 1994, Oulu, Finland.

Parkkinen J., Tuomainen V., Patomaki L., Lindqvist O.V. and Molsa H.: Presentation of SSP results: Remote Sensing. Third Joint Meeting of the LTR’s Coordination and International Scientific Commitees, November 28–30, 1994, Kigoma, Tanzania.

1993

Honkonen V., Jääskelainen T., and Parkkinen J.: Influence of shift and rotation distortion on optical correlators. 8th Scandinavian Conference on Image Analysis, Tromso, Norway, May 25–28, 1993, pp. 631–636.

1992

Mantere K., Parkkinen J., Jääskelainen T., and Gupta M.M.: Wilson-Cowan neural network model in image processing. Journal of Mathematical Imaging and Vision., 2, 1992, pp. 251–259.

Andreasen N.C., Cohen G., Harris G., Cizadlo T., Parkkinen J., Rezai K., and Swayze V.W.: Image processing for the study of brain structure and function: problems and programs. The Journal of Neuropsychiatry and Clinical Neurosciences. 4, 1992, pp. 125–133.

Hallikainen J., Parkkinen J., and Jääskelainen T.: Spectral imaging by optical computing, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, D.P. Casasent (Ed.), Proc SPIE 1608, 1992, pp. 167–175.

Parkkinen J.P., Gupta M.M., Knopf G.K., Hallikainen J., and Jääskelainen T.: Model for spatial and chromatic vision. Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, D.P. Casasent (Ed.), Proc. SPIE 1608, 1992, pp. 236–247. (Invited)

Hallikainen J., Parkkinen J., and Jääskelainen T.: Acousto-optic imaging microscope. Nordic Workshop on Industrial Machine Vision, March 30–31, 1992, Ruka, Finland.

Mantere K., Parkkinen J., Jääskelainen T., and Gupta M.M.: A neuron model for image processing. Digital Image Processing in Medicine, Remote Sensing, and Visualization of Information, April 21–25, 1992, Riga, Latvia. 4 pages.

Honkonen V., Jääskelainen T., and Parkkinen J.: Influence of shift and rotation distortion on optical correlators. Digital Image Processing in Medicine, Remote Sensing, and Visualization of Information, April 21–25, 1992, Riga, Latvia. 4 pages.

Parkkinen J., Jääskelainen T., and Hallikainen J.: Role of UV-light in vision, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3-D Methods, D.P. Casasent (Ed.), Proc SPIE 1826, 1992, pp. 250–252.

1991

Mantere K., Parkkinen J., and Jääskelainen T.: Analysis of spectral mixtures. Proceedings of the International Symposium Applied Optics’91, March, 1991, Prague, Czechoslovakia. 4 pages.

Honkonen V., Jääskelainen T., and Parkkinen J.: Optical correlators in texture analysis. SPIE 1991 International Symposium on Optical and Optoelectronic Applied Science and Engineering, July 21–26, 1991, San Diego, CA, USA.

Jääskelainen T., Honkonen V. and Parkkinen J.:Texture recognition by optically implementable filters. 7th Scandinavian Conference on Image Analysis, Aalborg, Denmark, August 1991. pp. 142–149.

Selkäinaho K. and Parkkinen J.: Fast method to evaluate texture. 7th Scandinavian Conference on Image Analysis, Aalborg, Denmark, August 1991. pp. 135–141.

Parkkinen J., Cohen G., Sonka M., and Andreasen N.C.: Segmentation of MR brain images. 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. October 31–November 3, 1991, Orlando, FL, USA.

1990

Jääskelainen T., Parkkinen J. and Toyooka S.: A vector-subspace model for color representation. Journal of the Optical Society of America A, 7, 1990, pp. 725–730.

Parkkinen J., Selkäinaho K. and Oja E.: Detecting texture periodicity from the cooccurrence matrix. Pattern Recognition Letters, 11, 1990, pp.43–50.

Parkkinen J., Sonka M., Cohen G., Ehrhardt J., and Andreasen N.: Shape analysis of cortical structures in MR-images. Proceedings of Biosignal ’90, June 26–28, 1990, Brno, Czechoslovakia.

Parkkinen J., Cohen G., Sonka M., Ehrhardt J., and Andreasen N.: Some problems of brain image analysis. Proceedings of Biosignal ’90, June 26–28, 1990, Brno, Czechoslovakia. (Invited)

Parkkinen J.P.S., Hallikainen J., and Jääskelainen T.: Color subspace based color coordinate system. SPIE Proceedings Vol 1360: Visual Communications and Image Processing V, Bellingham, WA, USA, 1990.

1989

Parkkinen J.P.S., Hallikainen J. and Jääskelainen T.: Characteristic spectra of Munsell colors. Journal of the Optical Society of America A, Vol. 6(2), 1989, pp. 318–322.

Oja E., Parkkinen J., Selkäinaho K. and Karki T.: Regularity Measurement Classification and Segmentation of Textures. From the Pixels to the Features, J.C.Simon (Ed.), North_Holland, Amsterdam, 1989, pp. 207–218.

Hallikainen J., Parkkinen J.P.S. and Jääskelainen T.: Color image processing with AOTF. Proceedings of the 6th Scandinavian Conference on Image Analysis, June 19–22, 1989, Oulu, Finland, pp. 294–300.

Jääskelainen T., and Parkkinen J.: Optical processing of multispectral images. Proceedings of ASOIZ, September 24–27, 1989, Leningrad, USSR. (Invited)

Parkkinen J., and Jääskelainen T.: Color vision: machine and human. SPIE Proceedings vol. 1199: Visual Communications and Image Processing IV, Bellingham, WA, USA, 1989. pp. 1184–1192.

1988

Hallikainen J., Parkkinen J. and Jääskelainen T.: An acoustooptic color spectrometer. Review of Scientific Instruments, Vol. 59(1), 1988, pp. 81–83.

Jääskelainen T., and Parkkinen J.: Classification of optical spectra by the learning subspace method. Proceedings of 1st Meeting on Lightwave Sensing Technology, June 23–24, 1988, Tokyo, Japan.

Selkäinaho K., Parkkinen J. and Oja E.: Comparison of chi square and kappa statistics in finding signal and picture periodicity. Proc. 9th Int. Conf. on Pattern Recognition, November 14–17, 1988, Roma, Italy, pp. 1221–1224.

Selkäinaho K. and Parkkinen J.: ICC statistic as criterion for classification and feature selection. Proc. 9th Int. Conf. on Pattern Recognition, November 14–17, 1988, Roma, Italy, pp. 709–711.

Parkkinen J., Jääskelainen T. and Kuittinen M.: Spectral representation of color images. Proc. 9th Int. Conf. on Pattern Recognition, November 14–17, 1988, Roma, Italy, pp.933–935.

Parkkinen J., Oja E. and Jääskelainen T.: Color analysis by learning subspaces and optical processing. Proceedings of the International Conference on Neural Networks, July 24–27, 1988, San Diego, USA, Vol. 2, pp. 421–427.

1987

Parkkinen J. and Jääskelainen T.: Color representation using statistical pattern recognition. Applied Optics, Vol. 26(19), 1987, pp. 4240–4245.

Oja E. and Parkkinen J.: Texture subspaces. Pattern Recognition Theory and Applications, P.A. Devijver and J. Kittler (Eds.), Springer Verlag, Berlin, 1987, pp. 21–33.

Selkäinaho K., Parkkinen J. and Oja E.: Structure in cooccurrence matrices: association vs. agreement. Proc. 5th Scand. Conf. on Image Analysis, June 2–5, 1987, Stockholm, Sweden, pp. 411–417.

Parkkinen J.P.S., and Jääskelainen T.: A new system for color measurement using optical computing and a pattern recognition method. Proc 14th Congress of the Int Commission for Optics, ICO-14, August 24–28, 1987, Quebec, Canada. pp. 453–454.

Parkkinen J., and Jääskelainen T.: System and method for accurate color analysis. The Joint Soviet-Finnish Symposium on Pattern Recognition Applications, September 26–29, 1987, Tbilisi, USSR. 8 pages. (Invited)

1986

Parkkinen J. and Oja E.: Cooccurrence matrices and subspace methods in texture analysis. Proc. 8th Int. Conf. on Pattern Recognition, October 27–31, 1986, Paris, France, pp. 405–408.

Jääskelainen T., Parkkinen J. and Oja E.: An optical pattern recognition method to color discrimination. Proc. 8th Int. Conf. on Pattern Recognition, October 27–31, 1986, Paris, France, pp. 766–768.

1985

Parkkinen J.P.S., Jääskelainen T. and Oja E.: Pattern recognition approach to color measurement and discrimination. Acta Polytechnica Scandinavica, Appl. Phys. Series No. 149, Vol 1, 1985, pp. 171–174.

Parkkinen J. and Oja E.: Texture classification by the subspace method. Proc. 4th Scand. Conf. on Image Analysis, June 18–20, 1985,Trondheim, Norway, pp. 429–436.

Karppinen V., Jääskelainen T. and Parkkinen J.P.S.: An image processing method to analyse speckle photographs. Opto-Electronic Imaging, D.P. Juyal (ed.), Tata McGraw-Hill Publishing, New Delhi, 1985, pp.444–449.

1984

Parkkinen J.P.S. and Jääskelainen T.: Nonsinusoidal absorption gratings in photographic materials. Optics Communications, Vol. 50(5),1984, pp. 287–290.

Oja E. and Parkkinen J.: On subspace clustering. Proc. 7th Int. Conf. on Pattern Recognition, July 30–August 2, 1984, Montreal, Canada, pp. 692–695.