{"id":"https://openalex.org/W4288693944","doi":"https://doi.org/10.1093/jcde/qwac071","title":"A novel deep convolutional neural network algorithm for surface defect detection","display_name":"A novel deep convolutional neural network algorithm for surface defect detection","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4288693944","doi":"https://doi.org/10.1093/jcde/qwac071"},"language":"en","primary_location":{"id":"doi:10.1093/jcde/qwac071","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwac071","pdf_url":"https://academic.oup.com/jcde/article-pdf/9/5/1616/46878068/qwac071.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/jcde/article-pdf/9/5/1616/46878068/qwac071.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045879529","display_name":"Dehua Zhang","orcid":"https://orcid.org/0000-0001-8623-8439"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehua Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Henan University , Zhengzhou, 450046, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University , Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010886799","display_name":"Xinyuan Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Hao","raw_affiliation_strings":["School of Artificial Intelligence, Henan University , Zhengzhou, 450046, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University , Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102506591","display_name":"Linlin Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Liang","raw_affiliation_strings":["School of Cyber Engineering, Xidian University , Xi\u2019an, 710126, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University , Xi\u2019an, 710126, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431969","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2860-1783"},"institutions":[{"id":"https://openalex.org/I4210110718","display_name":"Nanyang Normal University","ror":"https://ror.org/01f7yer47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["College of Electromechanic Engineering, Nanyang Normal University , Nanyang, 473061, China"],"affiliations":[{"raw_affiliation_string":"College of Electromechanic Engineering, Nanyang Normal University , Nanyang, 473061, China","institution_ids":["https://openalex.org/I4210110718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069540002","display_name":"Chunbin Qin","orcid":"https://orcid.org/0000-0002-8238-5922"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunbin Qin","raw_affiliation_strings":["School of Artificial Intelligence, Henan University , Zhengzhou, 450046, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University , Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069540002"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":{"value":1650,"currency":"USD","value_usd":1650},"apc_paid":{"value":1650,"currency":"USD","value_usd":1650},"fwci":11.9343,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.98834279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"9","issue":"5","first_page":"1616","last_page":"1632"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7851060628890991},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7226600646972656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720399022102356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5926433205604553},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5344478487968445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47653111815452576},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.47484472393989563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4544518291950226},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.444717139005661},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4441470503807068},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42707282304763794},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4229682385921478},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41987186670303345},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41099315881729126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3867510259151459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11516103148460388}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7851060628890991},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7226600646972656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720399022102356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5926433205604553},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5344478487968445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47653111815452576},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.47484472393989563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4544518291950226},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.444717139005661},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4441470503807068},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42707282304763794},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4229682385921478},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41987186670303345},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41099315881729126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3867510259151459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11516103148460388},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/jcde/qwac071","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwac071","pdf_url":"https://academic.oup.com/jcde/article-pdf/9/5/1616/46878068/qwac071.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1093/jcde/qwac071","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jcde/qwac071","pdf_url":"https://academic.oup.com/jcde/article-pdf/9/5/1616/46878068/qwac071.pdf","source":{"id":"https://openalex.org/S2485147958","display_name":"Journal of Computational Design and Engineering","issn_l":"2288-4300","issn":["2288-4300","2288-5048"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Design and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1865211685","display_name":null,"funder_award_id":"2019GGJS182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3029646797","display_name":null,"funder_award_id":"2018GGJS017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4132651293","display_name":null,"funder_award_id":"62001359","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5235287002","display_name":null,"funder_award_id":"20A120005","funder_id":"https://openalex.org/F4320335955","funder_display_name":"Key Scientific Research Project of Colleges and Universities in Henan Province"},{"id":"https://openalex.org/G5813194557","display_name":null,"funder_award_id":"21B120001","funder_id":"https://openalex.org/F4320335955","funder_display_name":"Key Scientific Research Project of Colleges and Universities in Henan Province"},{"id":"https://openalex.org/G7969265172","display_name":null,"funder_award_id":"SYLYC202219","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"},{"id":"https://openalex.org/G8991380064","display_name":null,"funder_award_id":"U1504615","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322878","display_name":"Henan University","ror":"https://ror.org/003xyzq10"},{"id":"https://openalex.org/F4320335955","display_name":"Key Scientific Research Project of Colleges and Universities in Henan Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4288693944.pdf","grobid_xml":"https://content.openalex.org/works/W4288693944.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W2039051707","https://openalex.org/W2078087367","https://openalex.org/W2094158905","https://openalex.org/W2107878631","https://openalex.org/W2118348777","https://openalex.org/W2139963745","https://openalex.org/W2146655125","https://openalex.org/W2181150946","https://openalex.org/W2293457052","https://openalex.org/W2416529854","https://openalex.org/W2598457882","https://openalex.org/W2768955070","https://openalex.org/W2807520932","https://openalex.org/W2884561390","https://openalex.org/W2884585870","https://openalex.org/W2912034700","https://openalex.org/W2912873949","https://openalex.org/W2917344403","https://openalex.org/W2917663261","https://openalex.org/W2963420686","https://openalex.org/W2998291476","https://openalex.org/W3012374719","https://openalex.org/W3034552520","https://openalex.org/W3042011474","https://openalex.org/W3048201280","https://openalex.org/W3120943932","https://openalex.org/W3164289800","https://openalex.org/W3184439416","https://openalex.org/W3195969653","https://openalex.org/W6644294760","https://openalex.org/W6680117229","https://openalex.org/W6683411478","https://openalex.org/W6684392942","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6730903564","https://openalex.org/W6731892127","https://openalex.org/W6745497189","https://openalex.org/W6749783731","https://openalex.org/W6752690156","https://openalex.org/W6760000479","https://openalex.org/W6761108903","https://openalex.org/W6769421742","https://openalex.org/W6778232604","https://openalex.org/W6786334952","https://openalex.org/W6796365944"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Abstract":[0],"The":[1,153,185],"surface":[2,158],"defect":[3,159],"detection":[4],"(SDD)":[5],"problem":[6],"is":[7,76,112,143,170,176,214],"one":[8],"of":[9,28,35,46,89,128,167,180],"the":[10,26,39,43,87,103,115,129,163,181,191,199,216],"crucial":[11],"techniques":[12],"during":[13],"production":[14],"process,":[15],"so":[16],"it":[17],"has":[18,32,220],"become":[19],"a":[20,58,69,107,149],"key":[21],"research":[22],"area":[23],"to":[24,38,147],"control":[25],"quality":[27],"industrial":[29],"products,":[30],"which":[31,92,175,197],"been":[33],"increasingly":[34],"greater":[36],"interest":[37],"researchers":[40],"especially":[41],"with":[42,208],"rapid":[44],"development":[45],"artificial":[47],"neural":[48,62],"networks":[49],"technology":[50],"in":[51,145],"recent":[52],"years.":[53],"Therefore,":[54],"this":[55,168],"paper":[56],"proposes":[57],"novel":[59,150],"deep":[60],"convolutional":[61],"network":[63,75,134,169,187],"algorithm":[64,201,218],"aiming":[65],"at":[66],"SDD.":[67],"Firstly,":[68],"dense":[70,90],"cross-stage":[71,83,109,116],"partial":[72,84],"Darknet":[73,85],"backbone":[74],"designed":[77],"for":[78,125],"feature":[79,97,117,132],"extraction":[80],"by":[81],"optimizing":[82],"through":[86],"idea":[88],"connections,":[91],"can,":[93],"not":[94,189],"only":[95,190],"enhance":[96],"reuse":[98],"but":[99,194],"also":[100,219],"greatly":[101],"alleviate":[102],"overfitting":[104],"issue.":[105],"Secondly,":[106],"new":[108],"hierarchy":[110],"module":[111],"presented":[113],"combining":[114],"fusion":[118],"strategy":[119],"and":[120,173,206],"depthwise":[121],"separable":[122],"convolution":[123],"technique":[124],"each":[126],"node":[127],"path":[130],"aggregated":[131],"pyramid":[133],"(PAN).":[135],"Finally,":[136],"an":[137],"efficient":[138],"channel":[139],"attention":[140],"(ECA)":[141],"mechanism":[142],"introduced":[144],"PAN":[146],"construct":[148],"ECA":[151],"PAN.":[152],"experimental":[154],"results":[155],"on":[156],"three":[157],"datasets":[160],"show":[161],"that":[162,179],"mean":[164],"average":[165],"precision":[166],"2.63,":[171],"5.48,":[172],"1.16$\\%$":[174],"higher":[177,204],"than":[178],"baseline":[182],"network,":[183],"respectively.":[184],"proposed":[186,200,217],"outperforms":[188],"classical":[192],"models":[193],"state-of-the-art":[195],"models,":[196],"indicates":[198],"can":[202],"achieve":[203],"accuracy":[205],"speed":[207],"fewer":[209],"calculation":[210],"parameters.":[211],"And":[212],"what":[213],"more,":[215],"outstanding":[221],"generalization":[222],"ability.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":54},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
