{"id":"https://openalex.org/W3201220105","doi":"https://doi.org/10.1109/access.2021.3111410","title":"Effective Defect Detection Method Based on Bilinear Texture Features for LGPs","display_name":"Effective Defect Detection Method Based on Bilinear Texture Features for LGPs","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3201220105","doi":"https://doi.org/10.1109/access.2021.3111410","mag":"3201220105"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3111410","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3111410","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09531362.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09531362.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087500832","display_name":"Libin Hong","orcid":"https://orcid.org/0000-0003-2579-0523"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libin Hong","raw_affiliation_strings":["School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China. (e-mail: libin_hong@hotmail.com)","School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2579-0523","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China. (e-mail: libin_hong@hotmail.com)","institution_ids":["https://openalex.org/I163151501"]},{"raw_affiliation_string":"School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052672156","display_name":"Xianglei Wu","orcid":"https://orcid.org/0000-0003-1801-2184"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglei Wu","raw_affiliation_strings":["School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1801-2184","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111964333","display_name":"Dibin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dibin Zhou","raw_affiliation_strings":["School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026302133","display_name":"Fuchang Liu","orcid":"https://orcid.org/0000-0002-3187-2886"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchang Liu","raw_affiliation_strings":["School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3187-2886","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0581,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81196046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"147958","last_page":"147966"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.8542414903640747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8111228942871094},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6789207458496094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6664732098579407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5802031755447388},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5379922986030579},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.49405553936958313},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4900280237197876},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4496935307979584},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.43321698904037476},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4258022606372833},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41947007179260254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.405748575925827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1967296004295349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0663142204284668}],"concepts":[{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.8542414903640747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8111228942871094},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6789207458496094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6664732098579407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5802031755447388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5379922986030579},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.49405553936958313},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4900280237197876},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4496935307979584},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.43321698904037476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4258022606372833},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41947007179260254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.405748575925827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1967296004295349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0663142204284668},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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:10.1109/access.2021.3111410","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3111410","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09531362.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2836c72c54954418a6ed8e0421d98d93","is_oa":true,"landing_page_url":"https://doaj.org/article/2836c72c54954418a6ed8e0421d98d93","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 147958-147966 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3111410","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3111410","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09531362.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G98568413","display_name":null,"funder_award_id":"LY20F020017","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201220105.pdf","grobid_xml":"https://content.openalex.org/works/W3201220105.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W78159342","https://openalex.org/W569706131","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1966411054","https://openalex.org/W1981759979","https://openalex.org/W2039970331","https://openalex.org/W2044465660","https://openalex.org/W2074827808","https://openalex.org/W2097117768","https://openalex.org/W2104657103","https://openalex.org/W2125027853","https://openalex.org/W2125148312","https://openalex.org/W2127044649","https://openalex.org/W2133059825","https://openalex.org/W2145023731","https://openalex.org/W2163605009","https://openalex.org/W2164653394","https://openalex.org/W2171261408","https://openalex.org/W2194775991","https://openalex.org/W2244621407","https://openalex.org/W2321226168","https://openalex.org/W2418691539","https://openalex.org/W2555875178","https://openalex.org/W2752782242","https://openalex.org/W2923486253","https://openalex.org/W2963239066","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2964193438","https://openalex.org/W2964309882","https://openalex.org/W2968917279","https://openalex.org/W2994689640","https://openalex.org/W3018807068","https://openalex.org/W3104156061","https://openalex.org/W6637373629","https://openalex.org/W6683590716","https://openalex.org/W6684191040","https://openalex.org/W6748481559","https://openalex.org/W6767164110"],"related_works":["https://openalex.org/W2165589608","https://openalex.org/W3093557575","https://openalex.org/W2354231916","https://openalex.org/W3182767856","https://openalex.org/W2162140574","https://openalex.org/W2329500892","https://openalex.org/W2354073393","https://openalex.org/W2361009070","https://openalex.org/W2121457398","https://openalex.org/W1915958221"],"abstract_inverted_index":{"Automatic":[0],"defect":[1,76],"detection":[2,77],"of":[3,15,22,34],"light":[4],"guide":[5],"plates":[6],"(LGPs)":[7],"is":[8],"an":[9,74],"important":[10],"task":[11],"in":[12],"the":[13,138],"manufacture":[14],"liquid":[16],"crystal":[17],"displays.":[18],"During":[19],"thermo-printing,":[20],"defects":[21,32,43],"tag":[23,40,119,123],"lines":[24],"on":[25,108,136],"LGPs":[26],"may":[27],"occur":[28],"easily,":[29],"and":[30,38,51,54,86,101,122,133,140],"these":[31],"are":[33],"two":[35],"categories:":[36],"bubbles":[37],"missing":[39],"lines.":[41],"These":[42],"lack":[44],"salient":[45],"visual":[46],"attributes,":[47],"such":[48],"as":[49,55],"edge-based":[50],"region-based":[52],"features,":[53,95],"such,":[56],"traditional":[57],"methods":[58],"fail":[59],"to":[60,98],"detect":[61],"them.":[62],"To":[63],"address":[64],"this,":[65],"we":[66],"propose":[67],"a":[68],"Dense-bilinear":[69],"convolutional":[70],"neural":[71],"network":[72,91,107,127],"(BCNN),":[73],"end-to-end":[75],"network,":[78],"utilizing":[79],"Dense-blocks":[80],"[1],":[81],"Bilinear":[82],"feature":[83],"layers":[84],"[2],":[85],"squeeze-and-excitation":[87],"blocks":[88],"[3].":[89],"Our":[90,126],"exploits":[92],"fine-grained":[93],"texture":[94],"which":[96],"leads":[97],"parameter":[99],"reduction":[100],"accuracy":[102],"enhancement.":[103],"We":[104],"validate":[105],"our":[106,109,141],"LGP":[110,142],"dataset":[111],"containing":[112],"5,860":[113],"images":[114],"from":[115],"three":[116],"cases:":[117],"bubbles,":[118],"line":[120,124],"existence,":[121],"missing.":[125],"outperforms":[128],"AlexNet":[129],"[4],":[130],"VGG":[131],"[5],":[132],"ResNet":[134],"[6]":[135],"both":[137],"public":[139],"datasets":[143],"with":[144],"less":[145],"GPU":[146],"memory":[147],"consumption.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
