{"id":874,"date":"2020-06-25T10:59:16","date_gmt":"2020-06-25T07:59:16","guid":{"rendered":"https:\/\/sites.uef.fi\/spectral\/?page_id=874"},"modified":"2023-11-13T13:18:33","modified_gmt":"2023-11-13T11:18:33","slug":"spectral-image-database-of-nordic-sawn-timbers","status":"publish","type":"page","link":"https:\/\/sites.uef.fi\/spectral\/databases-software\/spectral-image-database-of-nordic-sawn-timbers\/","title":{"rendered":"Spectral Image Database of Nordic Sawn Timbers"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p>In this website we provide information on comprehensive spectral image database of Nordic sawn timbers for free public use. The full\u00a0size of data is around 500 GiB so the distribution\u00a0is handled with physical hard drive distribution. Online distribution is under\u00a0consideration.\u00a0For data access and further information, please contact Prof. Markku Hauta-Kasari at any time with email markku.hauta-kasari (at) uef.fi<\/p>\n\n\n\n<p>Economically significant Finnish wood species Birch (<em>Betula sp.<\/em>), Norway spruce (<em>Picea abies<\/em>) and Scots pine (<em>Pinus sylvestris<\/em>) were chosen to be included in this database. The total amount of\u00a0spectral images\u00a0was 107 which contained heartwood, sapwood, decayed wood, blue stain, mold, resin, early wood, late wood, knots, cracks, pith, reaction wood and bark. Board and crosscut samples were measured in frozen, melted and air dried conditions.\u00a0Each pixel in the spectral image contains reflectance\u00a0from\u00a0300-2500\u00a0nm wavelength range with 5 nm sampling. Also, the photoluminescence of samples excited by ultraviolet B (UV-B) light source was measured. Used spot size was 250\u00a0\u00b5m with 80\u00a0mm * 200\u00a0mm imaging area producing 44\u00a0millions spectra in all.<\/p>\n\n\n\n<p>The associated journal article for the data is <a href=\"http:\/\/link.springer.com\/article\/10.1007\/s00226-014-0655-y\">Spectral image database of Nordic sawn timbers<\/a> where <a href=\"http:\/\/www.mdpi.com\/1424-8220\/13\/11\/14500\/htm\">data acquisition process is described<\/a> in detail. In manuscript we also introduce and provide examples of possibilities of this spectral image database as the detection of the spatial distribution of aromatic lignin and the moisture content of melted timber. This is only the tip of the\u00a0of the full\u00a0knowledge potential that the database has.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The primary citations for this database<\/h2>\n\n\n\n<p>For the database:<br>Hirvonen T, Orava J, Penttinen N, Luostarinen K, Hauta-Kasari M, Sorjonen M, Peiponen K-E. <em>Spectral image database for observing quality of Nordic sawn timers. <\/em>Wood Science and Technology. 2014;48(5);995-1003. <a href=\"http:\/\/link.springer.com\/article\/10.1007\/s00226-014-0655-y\">Article on publisher webpage<\/a>.<\/p>\n\n\n\n<p>For the used equipment:<br>Hirvonen T, Penttinen N, Hauta-Kasari M, Sorjonen M, Peiponen K-E. <em>A Wide Spectral Range Reflectance and Luminescence Imaging System. <\/em>Sensors. 2013;13(11);14500-14510. <a href=\"http:\/\/www.mdpi.com\/1424-8220\/13\/11\/14500\/htm\">Article on publisher webpage<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Database content description<\/h2>\n\n\n\n<p>The three figures below (click to enlarge) show the filename listing\u00a0for the\u00a0three wood species used and the associated measured data. Figures also list the initially observed defects and\u00a0types\u00a0of wood present in that particular sample.\u00a0Figures also lists the measurement orientations and moisture content (MC) of the\u00a0wood measured. The moisture content of each sample was estimated as frozen, as melted, and as oven dried. These arrays make\u00a0the data\u00a0easy to access and observe the defects from the spectral image database.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberPine.png\"><img loading=\"lazy\" decoding=\"async\" width=\"636\" height=\"953\" src=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberPine.png\" alt=\"\" class=\"wp-image-1415\" srcset=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberPine.png 636w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberPine-200x300.png 200w\" sizes=\"auto, (max-width: 636px) 100vw, 636px\" \/><\/a><figcaption class=\"wp-element-caption\">Pine<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBruce.png\"><img loading=\"lazy\" decoding=\"async\" width=\"665\" height=\"1012\" src=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBruce.png\" alt=\"\" class=\"wp-image-1406\" srcset=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBruce.png 665w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBruce-197x300.png 197w\" sizes=\"auto, (max-width: 665px) 100vw, 665px\" \/><\/a><figcaption class=\"wp-element-caption\">Spruce<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBirch.png\"><img loading=\"lazy\" decoding=\"async\" width=\"657\" height=\"866\" src=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBirch.png\" alt=\"\" class=\"wp-image-1403\" srcset=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBirch.png 657w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberBirch-228x300.png 228w\" sizes=\"auto, (max-width: 657px) 100vw, 657px\" \/><\/a><figcaption class=\"wp-element-caption\">Birch<\/figcaption><\/figure>\n\n\n\n<p>And in the array below are once more\u00a0listed all measured amount of each sample type. The sum of crosscuts and boards create the total amount of samples measured. Specimens describe the amount of unique tree specimens from which the crosscuts and boards\u00a0had been\u00a0created.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"345\" height=\"104\" src=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Sample-amounts.png\" alt=\"\" class=\"wp-image-1376\" srcset=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Sample-amounts.png 345w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Sample-amounts-300x90.png 300w\" sizes=\"auto, (max-width: 345px) 100vw, 345px\" \/><figcaption class=\"wp-element-caption\"><strong>Table 4<\/strong> Sample counts<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Example visuals extracted from the database<\/h2>\n\n\n\n<p>Database is saved as a custom binary data files. The database includes full report file for the file structure and Matlab programs for\u00a0accessing the data. The database also includes a viewer program for quick visual evaluation of data. The viewer parses the data as a binned version to memory, which enables extremely fluent visual inspections of individual wavelength images, RGB evaluation of the image, and the point-wise spectral data. Below is shown version 2.0 of the viewer program.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"695\" src=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Ultimate-Viewer-1024x695.png\" alt=\"\" class=\"wp-image-1424\" srcset=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Ultimate-Viewer-1024x695.png 1024w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Ultimate-Viewer-300x204.png 300w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Ultimate-Viewer-768x521.png 768w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/Ultimate-Viewer.png 1254w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Below\u00a0are\u00a0calculated RGBs from the spectral image data of a pine\u00a0sample. Upper inset is illuminated with halogen light and bottom inset is illuminated with UV light. The calculation is done with D65 in both RGBs.\u00a0The spatial distribution of the fluorescence as well as different fluorescent sources are clearly visible.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"950\" height=\"644\" src=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberFluoresessi.png\" alt=\"\" class=\"wp-image-1409\" srcset=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberFluoresessi.png 950w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberFluoresessi-300x203.png 300w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberFluoresessi-768x521.png 768w\" sizes=\"auto, (max-width: 950px) 100vw, 950px\" \/><\/figure>\n\n\n\n<p>Below is example of the spectral image\u00a0data usage. Two unique areas of very much similar wood types (on the RGB image at upper left inset)\u00a0and the second derivate of the spatial median spectra from those areas (bottom). Also,\u00a0visible (upper right inset)\u00a0the false\u00a0color image of the same wood sample showing the spectral\u00a0second derivate image from the 1905 nm area.\u00a0Depending from citation source\u00a0this wavelength area has been connected to\u00a0lignin, hemicellulose, and\/or water. Indeed,\u00a0there are\u00a0interesting spatial\u00a0and\u00a0spectral phenomena present in the database\u00a0data.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"954\" height=\"576\" src=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberInfraPunaista.png\" alt=\"\" class=\"wp-image-1412\" srcset=\"https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberInfraPunaista.png 954w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberInfraPunaista-300x181.png 300w, https:\/\/sites.uef.fi\/spectral\/wp-content\/uploads\/sites\/22\/2020\/12\/TimberInfraPunaista-768x464.png 768w\" sizes=\"auto, (max-width: 954px) 100vw, 954px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Sharing license of the database data<\/h2>\n\n\n\n<p>This database is licensed under a <a href=\"http:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/\">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License<\/a>. We also want to be clear that anybody is free to publish any papers containing results derived from this database as long as the database is cited properly.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sharing license of the\u00a0viewer program provided with the database<\/h2>\n\n\n\n<p>The data viewer PC program provided with the database &#8220;Ultimate Preview 2.0&#8221; by Niko Penttinen and University of Eastern Finland is licensed under a <a href=\"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/\">Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction In this website we provide information on comprehensive spectral image database of Nordic sawn timbers for free public use. The full\u00a0size of data is around 500 GiB so the distribution\u00a0is handled with physical hard drive distribution. Online distribution is under\u00a0consideration.\u00a0For data access and further information, please contact Prof. Markku Hauta-Kasari at any time with [&hellip;]<\/p>\n","protected":false},"author":24,"featured_media":0,"parent":156,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-874","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Spectral Image Database of Nordic Sawn Timbers - Computational Spectral Imaging<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.uef.fi\/spectral\/databases-software\/spectral-image-database-of-nordic-sawn-timbers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Spectral Image Database of Nordic Sawn Timbers - Computational Spectral Imaging\" \/>\n<meta property=\"og:description\" content=\"Introduction In this website we provide information on comprehensive spectral image database of Nordic sawn timbers for free public use. 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