{"id":"https://openalex.org/W2001664772","doi":"https://doi.org/10.1080/00207169808804658","title":"Supervised and unsupervised neural network methods applied to textile quality control based on improved wavelet feature extraction techniques","display_name":"Supervised and unsupervised neural network methods applied to textile quality control based on improved wavelet feature extraction techniques","publication_year":1998,"publication_date":"1998-01-01","ids":{"openalex":"https://openalex.org/W2001664772","doi":"https://doi.org/10.1080/00207169808804658","mag":"2001664772"},"language":"en","primary_location":{"id":"doi:10.1080/00207169808804658","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207169808804658","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","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/A5002850928","display_name":"D.A. Karras","orcid":"https://orcid.org/0000-0002-2759-8482"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"D. A. Karras","raw_affiliation_strings":["Department of Informatics , University of Ioannina , Ioannina, 45110, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics , University of Ioannina , Ioannina, 45110, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110210733","display_name":"S.A. Karkanis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. A. Karkanis","raw_affiliation_strings":["NRCPS \u201cDemocritos\u201d , Inst. of Nuclear Technology , Aghia Paraskevi, Athens, 15310, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NRCPS \u201cDemocritos\u201d , Inst. of Nuclear Technology , Aghia Paraskevi, Athens, 15310, Greece","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068105234","display_name":"B.G. Mertzios","orcid":null},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"B. G. Mertzios","raw_affiliation_strings":["Dept. of Electr. and Comp. Eng , Democritus Univ. of Thrace , Xanthi, 67 100, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electr. and Comp. Eng , Democritus Univ. of Thrace , Xanthi, 67 100, Greece","institution_ids":["https://openalex.org/I147962203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.18256194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"67","issue":"1-2","first_page":"169","last_page":"181"},"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":0.9959999918937683,"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":0.9959999918937683,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7802227735519409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7103597521781921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658586263656616},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6340358257293701},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6034371852874756},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.5965098142623901},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5731861591339111},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5261775255203247},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4957784116268158},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.48677515983581543},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4696335792541504},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.46359580755233765}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7802227735519409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7103597521781921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658586263656616},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6340358257293701},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6034371852874756},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.5965098142623901},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5731861591339111},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5261775255203247},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4957784116268158},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.48677515983581543},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4696335792541504},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.46359580755233765},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207169808804658","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207169808804658","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.20.6372","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.6372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rtsimage.di.uoa.gr/cv/../publications/j_math.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1604810369","https://openalex.org/W2032024895","https://openalex.org/W2035285058","https://openalex.org/W2044465660","https://openalex.org/W2100860054","https://openalex.org/W2132984323","https://openalex.org/W2145627052","https://openalex.org/W2148253699","https://openalex.org/W2148593155","https://openalex.org/W2165321742","https://openalex.org/W7081430716"],"related_works":["https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W150043153","https://openalex.org/W2076543106","https://openalex.org/W2113265704","https://openalex.org/W2482164254","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2083196709"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"at":[3],"investigating":[4],"novel":[5,51],"solutions":[6,33],"to":[7,90],"the":[8,39,74,101,107,117,127],"problem":[9],"of":[10,42,116],"textile":[11,29,59,124],"defect":[12],"detection":[13],"from":[14,38,100],"images,":[15],"that":[16],"can":[17],"find":[18],"applications":[19],"in":[20,28,58,122],"building":[21],"robust":[22],"quality":[23],"control":[24],"vision":[25],"based":[26,93],"systems":[27],"production.":[30],"The":[31,114],"proposed":[32,118],"focus":[34],"on":[35],"detecting":[36],"defects":[37,57],"textural":[40],"properties":[41],"their":[43],"corresponding":[44],"wavelet":[45,92,102],"transformed":[46,103],"images.":[47],"More":[48],"specifically":[49],"a":[50],"methodology":[52,119],"is":[53],"investigated":[54],"for":[55],"discriminating":[56],"images":[60,105,125],"by":[61],"applying":[62],"supervised":[63],"and":[64,78,111],"unsupervised":[65],"neural":[66],"classification":[67],"techniques,":[68],"employing":[69],"multilayer":[70],"perceptrons":[71],"(MLP)-trained":[72],"with":[73,132],"on-line":[75],"backpropagation":[76],"algorithm":[77],"Kohonen's":[79],"Self-Organizing":[80],"Feature":[81],"Maps":[82],"(SOFM)":[83],"respectively.":[84],"These":[85,96],"parallel":[86],"techniques":[87],"are":[88,98,120,130],"applied":[89],"innovative":[91],"feature":[94],"vectors.":[95],"vectors":[97],"extracted":[99],"original":[104],"using":[106],"cooccurrence":[108],"matrices":[109],"framework":[110],"SVD":[112],"analysis.":[113],"results":[115],"illustrated":[121],"defective":[123,128],"where":[126],"areas":[129],"recognized":[131],"about":[133],"98.5%":[134],"accuracy.":[135]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}