{"id":"https://openalex.org/W3202559911","doi":"https://doi.org/10.1155/2021/2036466","title":"Industrial Printing Image Defect Detection Using Multi\u2010Edge Feature Fusion Algorithm","display_name":"Industrial Printing Image Defect Detection Using Multi\u2010Edge Feature Fusion Algorithm","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3202559911","doi":"https://doi.org/10.1155/2021/2036466","mag":"3202559911"},"language":"en","primary_location":{"id":"doi:10.1155/2021/2036466","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2036466","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/2036466.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/2036466.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069440029","display_name":"Bangchao Liu","orcid":"https://orcid.org/0000-0002-9743-7908"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bangchao Liu","raw_affiliation_strings":["School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China"],"raw_orcid":"https://orcid.org/0000-0002-9743-7908","affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110018633","display_name":"Youping Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youping Chen","raw_affiliation_strings":["School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166003","display_name":"Jingming Xie","orcid":"https://orcid.org/0000-0001-5974-8871"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingming Xie","raw_affiliation_strings":["School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443103","display_name":"Bing Chen","orcid":"https://orcid.org/0000-0002-2863-5441"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Chen","raw_affiliation_strings":["School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069440029"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":1.6621,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86405591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"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":1.0,"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":1.0,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9947999715805054,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/feature","display_name":"Feature (linguistics)","score":0.668688178062439},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6192790269851685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6095125675201416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5996135473251343},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5575785040855408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5538031458854675},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5434802174568176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.502230167388916},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5011396408081055},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47103220224380493},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4522646963596344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3591626286506653},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.296783447265625}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.668688178062439},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6192790269851685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6095125675201416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5996135473251343},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5575785040855408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5538031458854675},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5434802174568176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.502230167388916},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5011396408081055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47103220224380493},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4522646963596344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3591626286506653},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.296783447265625},{"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":3,"locations":[{"id":"doi:10.1155/2021/2036466","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2036466","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/2036466.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:2036466","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/2036466.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:136c5a335a124da99d154152132fa221","is_oa":true,"landing_page_url":"https://doaj.org/article/136c5a335a124da99d154152132fa221","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":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/2036466","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/2036466","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/2036466.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3202559911.pdf","grobid_xml":"https://content.openalex.org/works/W3202559911.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1969380145","https://openalex.org/W1988638748","https://openalex.org/W2071996563","https://openalex.org/W2118204524","https://openalex.org/W2124921684","https://openalex.org/W2149371237","https://openalex.org/W2151103935","https://openalex.org/W2207978193","https://openalex.org/W2414372621","https://openalex.org/W2471761324","https://openalex.org/W2528999066","https://openalex.org/W2553813712","https://openalex.org/W2598457882","https://openalex.org/W2786406558","https://openalex.org/W2794095709","https://openalex.org/W2794109627","https://openalex.org/W2890747436","https://openalex.org/W2906639739","https://openalex.org/W2911595607","https://openalex.org/W2912130719","https://openalex.org/W2912272978","https://openalex.org/W2920311927","https://openalex.org/W2951790794","https://openalex.org/W2957908269","https://openalex.org/W2971396064","https://openalex.org/W2979661171","https://openalex.org/W2982969704","https://openalex.org/W2996788668","https://openalex.org/W3043445295","https://openalex.org/W3081941222","https://openalex.org/W3088129802","https://openalex.org/W3111404230","https://openalex.org/W3112300971"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2315652488","https://openalex.org/W2028037572"],"abstract_inverted_index":{"Online":[0],"defect":[1,38,111],"detection":[2,23,39,112],"system":[3,201],"is":[4,18,50,72,92,119,155,210],"a":[5,65,87,203],"necessary":[6],"technical":[7],"measure":[8],"and":[9,25,29,48,104,141,148,171,217],"important":[10],"means":[11],"for":[12],"large\u2010scale":[13],"industrial":[14],"printing":[15,33,58,85,89,188,207,215],"production.":[16],"It":[17,209],"effective":[19,73],"to":[20,52,80,121,127,157,212],"reduce":[21,128,219],"artificial":[22],"fatigue":[24],"improve":[26,195],"the":[27,36,54,81,96,123,129,138,145,159,165,175,178,196,214,220],"accuracy":[28],"stability":[30],"of":[31,83,131,161,168,177,198,205,222],"industry":[32],"line.":[34],"However,":[35],"existing":[37,97],"algorithms":[40],"are":[41,135],"mainly":[42],"developed":[43],"based":[44],"on":[45,56,202],"high\u2010quality":[46],"database":[47,91],"it":[49,99],"difficult":[51],"detect":[53,184],"defects":[55,185],"low\u2010quality":[57,187],"images.":[59],"In":[60,125],"this":[61,76],"paper,":[62],"we":[63],"propose":[64],"new":[66,88],"multi\u2010edge":[67,151],"feature":[68,118,152],"fusion":[69,153],"algorithm":[70,154],"which":[71,134,181],"in":[74,186],"solving":[75],"problem.":[77],"Firstly,":[78],"according":[79],"characteristics":[82],"sheet\u2010fed":[84],"system,":[86],"image":[90,147],"established;":[93],"compared":[94],"with":[95],"databases,":[98],"has":[100],"larger":[101],"translation,":[102],"deformation,":[103,140],"uneven":[105],"illumination":[106],"variation.":[107],"These":[108],"interferences":[109],"make":[110],"become":[113],"more":[114],"challenging.":[115],"Then,":[116],"SIFT":[117],"employed":[120],"register":[122],"database.":[124,189],"order":[126],"number":[130,221],"false":[132],"detections":[133],"caused":[136],"by":[137],"position,":[139],"brightness":[142],"deviation":[143],"between":[144],"detected":[146],"reference":[149],"image,":[150],"proposed":[156,179,191],"overcome":[158],"effects":[160],"these":[162],"disturbances.":[163],"Lastly,":[164],"experimental":[166],"results":[167,193],"mAP":[169],"(92.65%)":[170],"recall":[172],"(96.29%)":[173],"verify":[174],"effectiveness":[176],"method":[180],"can":[182,194],"effectively":[183],"The":[190],"research":[192],"adaptability":[197],"visual":[199],"inspection":[200],"variety":[204],"different":[206],"platforms.":[208],"better":[211],"control":[213],"process":[216],"further":[218],"operators.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
