{"id":"https://openalex.org/W1986495686","doi":"https://doi.org/10.1142/s0218001496000098","title":"SELF-ORGANIZING FEATURE EXTRACTION IN RECOGNITION OF WOOD SURFACE DEFECTS AND COLOR IMAGES","display_name":"SELF-ORGANIZING FEATURE EXTRACTION IN RECOGNITION OF WOOD SURFACE DEFECTS AND COLOR IMAGES","publication_year":1996,"publication_date":"1996-03-01","ids":{"openalex":"https://openalex.org/W1986495686","doi":"https://doi.org/10.1142/s0218001496000098","mag":"1986495686"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001496000098","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001496000098","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113733743","display_name":"Jouko Lampinen","orcid":null},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"JOUKO LAMPINEN","raw_affiliation_strings":["Department of Information Technology, Lappeenranta University of Technology, FIN-53851 Lappeenranta, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Lappeenranta University of Technology, FIN-53851 Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014580006","display_name":"Seppo Smolander","orcid":null},"institutions":[{"id":"https://openalex.org/I63548447","display_name":"Lappeenranta-Lahti University of Technology","ror":"https://ror.org/0208vgz68","country_code":"FI","type":"education","lineage":["https://openalex.org/I63548447"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"SEPPO SMOLANDER","raw_affiliation_strings":["Department of Information Technology, Lappeenranta University of Technology, FIN-53851 Lappeenranta, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Lappeenranta University of Technology, FIN-53851 Lappeenranta, Finland","institution_ids":["https://openalex.org/I63548447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113733743"],"corresponding_institution_ids":["https://openalex.org/I63548447"],"apc_list":null,"apc_paid":null,"fwci":9.2442,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.97845297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"10","issue":"02","first_page":"97","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.810588002204895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7040756940841675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690003514289856},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5689150094985962},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5542343854904175},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44291555881500244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3492160439491272},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21244272589683533}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.810588002204895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7040756940841675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690003514289856},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5689150094985962},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5542343854904175},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44291555881500244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3492160439491272},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21244272589683533}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218001496000098","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001496000098","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.54.843","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lce.hut.fi/publications/ps/Lampinen_IJPRAI96.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.41999998688697815,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1976990135","https://openalex.org/W1984036775","https://openalex.org/W1988670984","https://openalex.org/W1991848143","https://openalex.org/W2008130267","https://openalex.org/W2037474041","https://openalex.org/W2040260712","https://openalex.org/W2131032989","https://openalex.org/W2147800946","https://openalex.org/W2148136924","https://openalex.org/W2156297475","https://openalex.org/W2159694600","https://openalex.org/W2164791656"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2082269393","https://openalex.org/W2043960970"],"abstract_inverted_index":{"A":[0],"method":[1,12,58],"for":[2,68,172],"constructing":[3],"classification":[4,80,140],"features":[5,27,36,50,200,206],"with":[6,28,39,98,130,144,151,163,227],"unsupervised":[7],"learning":[8,202],"is":[9,13,59],"presented.":[10],"The":[11,31,57,157],"based":[14,195],"on":[15,196],"clustering":[16],"of":[17,26,33,70,122,136,147,203],"the":[18,34,48,55,75,87,92,101,105,109,114,123,137,173,192,204,210],"high":[19],"dimensional":[20],"measurements":[21],"into":[22],"a":[23,40,145,188],"small":[24],"number":[25],"self-organizing":[29],"maps.":[30],"histograms":[32],"self-organized":[35],"are":[37,194,213],"classified":[38],"multilayer":[41],"perceptron":[42],"network,":[43],"that":[44,183],"can":[45,184],"pick":[46],"up":[47],"relevant":[49],"and":[51,78,119,201,207],"feature":[52],"combinations":[53],"from":[54,154,209],"histograms.":[56],"applied":[60],"in":[61,74,81,120,223],"two":[62],"industrial":[63],"problems,":[64],"color":[65,106],"image":[66,107],"recognition":[67,108,158],"selection":[69],"optimal":[71],"reproduction":[72],"parameters":[73],"printing":[76],"press,":[77],"defect":[79,139,221],"wood":[82,138],"surfaces.":[83],"In":[84,104],"both":[85],"applications,":[86],"results":[88,110],"were":[89,111,127],"evaluated":[90,143],"by":[91,187],"domain":[93],"experts":[94],"to":[95,100,113,177,180,216],"be":[96,178,185],"sufficient":[97],"respect":[99],"application":[102],"requirements.":[103],"compared":[112,179],"manually":[115],"selected":[116],"parameter":[117],"settings,":[118],"12%":[121],"test":[124],"images":[125,150],"there":[126],"distinquishable":[128],"differences,":[129],"very":[131],"few":[132],"clear":[133],"failures.":[134],"Performance":[135],"system":[141],"was":[142,160],"set":[146],"400":[148],"knot":[149],"7":[152],"classes":[153,208],"spruce":[155],"boards.":[156],"rate":[159],"about":[161,169],"85%":[162],"only":[164],"gray":[165],"level":[166],"images,":[167],"giving":[168],"90%":[170],"accuracy":[171,182],"final":[174,205],"board":[175],"grading,":[176],"75\u201380%":[181],"maintained":[186],"human":[189],"inspector.":[190],"As":[191],"methods":[193],"rather":[197],"generic":[198],"basic":[199],"samples,":[211],"they":[212],"easily":[214],"adaptable":[215],"different":[217,228,232],"tasks,":[218],"such":[219],"as":[220],"inspection":[222],"lumber":[224],"or":[225,231],"veneer,":[226],"tree":[229],"species":[230],"cutting":[233],"processes.":[234]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
