{"id":"https://openalex.org/W2300147725","doi":"https://doi.org/10.1155/2016/4140175","title":"Defect Detection in Tire X-Ray Images Using Weighted Texture Dissimilarity","display_name":"Defect Detection in Tire X-Ray Images Using Weighted Texture Dissimilarity","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2300147725","doi":"https://doi.org/10.1155/2016/4140175","mag":"2300147725"},"language":"en","primary_location":{"id":"doi:10.1155/2016/4140175","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4140175","pdf_url":"https://downloads.hindawi.com/journals/js/2016/4140175.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2016/4140175.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004039264","display_name":"Qiang Guo","orcid":"https://orcid.org/0000-0003-4219-3528"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Guo","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China","School of Computer Science and Technology, Shandong University, Jinan 250100, China","Shandong Provincial Key Laboratory of Digital Media Technology, Jinan 250014, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China","institution_ids":["https://openalex.org/I59483232"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan 250100, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Digital Media Technology, Jinan 250014, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753050","display_name":"Caiming Zhang","orcid":"https://orcid.org/0000-0003-0217-1543"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiming Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan 250100, China","Shandong Provincial Key Laboratory of Digital Media Technology, Jinan 250014, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan 250100, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Digital Media Technology, Jinan 250014, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768509","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0003-3911-7751"},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China","Shandong Provincial Key Laboratory of Digital Media Technology, Jinan 250014, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China","institution_ids":["https://openalex.org/I59483232"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Digital Media Technology, Jinan 250014, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455654","display_name":"Xiaofeng Zhang","orcid":"https://orcid.org/0000-0001-8978-1058"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhang","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai 264025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai 264025, China","institution_ids":["https://openalex.org/I182707071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004039264"],"corresponding_institution_ids":["https://openalex.org/I154099455","https://openalex.org/I59483232"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":4.2474,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.93859778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"12"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9872999787330627,"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":0.9836000204086304,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7409399151802063},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6438980102539062},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6205861568450928},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6010311245918274},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5984077453613281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5692295432090759},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5382980704307556},{"id":"https://openalex.org/keywords/tread","display_name":"Tread","score":0.5283007621765137},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5079990029335022},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4796641170978546},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4631907641887665},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44876691699028015},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4296719431877136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3966769576072693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3232332468032837}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7409399151802063},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6438980102539062},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6205861568450928},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6010311245918274},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5984077453613281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5692295432090759},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5382980704307556},{"id":"https://openalex.org/C155296804","wikidata":"https://www.wikidata.org/wiki/Q30329684","display_name":"Tread","level":3,"score":0.5283007621765137},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5079990029335022},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4796641170978546},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4631907641887665},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44876691699028015},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4296719431877136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3966769576072693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3232332468032837},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C176933379","wikidata":"https://www.wikidata.org/wiki/Q131877","display_name":"Natural rubber","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2016/4140175","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4140175","pdf_url":"https://downloads.hindawi.com/journals/js/2016/4140175.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:45266a4a76bd4c2e8646448fb819209e","is_oa":true,"landing_page_url":"https://doaj.org/article/45266a4a76bd4c2e8646448fb819209e","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":"Journal of Sensors, Vol 2016 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/4140175","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/4140175","pdf_url":"https://downloads.hindawi.com/journals/js/2016/4140175.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"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":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1169727053","display_name":null,"funder_award_id":"2013M531600","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2039174015","display_name":"\u57fa\u4e8eCT\u56fe\u50cf\u7684\u80ba\u90e8\u80bf\u7624\u8f85\u52a9\u8bca\u65ad\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61272245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2341235025","display_name":null,"funder_award_id":"2013M531600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2457060590","display_name":null,"funder_award_id":"61272245","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6081896542","display_name":null,"funder_award_id":"61373078","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G63400967","display_name":"\u57fa\u4e8e\u6210\u5206\u5206\u89e3\u4e0e\u76f8\u4f3c\u6027\u5206\u6790\u7684\u56fe\u50cf\u5f02\u5e38\u68c0\u6d4b\u7814\u7a76","funder_award_id":"61472220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6529742492","display_name":"\u590d\u6742\u5f62\u72b6\u7279\u5f81\u7684\u4e09\u7ef4\u51e0\u4f55\u6a21\u578b\u91cd\u5efa\u95ee\u9898\u7814\u7a76","funder_award_id":"61373078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6831220580","display_name":null,"funder_award_id":"61202150","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7194937019","display_name":null,"funder_award_id":"61472220","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8382986498","display_name":null,"funder_award_id":"61202150","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320336653","display_name":"Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2300147725.pdf","grobid_xml":"https://content.openalex.org/works/W2300147725.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1497866426","https://openalex.org/W1588043677","https://openalex.org/W1976526581","https://openalex.org/W1978904636","https://openalex.org/W1996326832","https://openalex.org/W2003688532","https://openalex.org/W2006262236","https://openalex.org/W2011406694","https://openalex.org/W2023887898","https://openalex.org/W2034851609","https://openalex.org/W2036421441","https://openalex.org/W2037954058","https://openalex.org/W2055575018","https://openalex.org/W2071448691","https://openalex.org/W2076844371","https://openalex.org/W2078087367","https://openalex.org/W2082723523","https://openalex.org/W2085709773","https://openalex.org/W2090421651","https://openalex.org/W2109925328","https://openalex.org/W2116857329","https://openalex.org/W2119823327","https://openalex.org/W2127409454","https://openalex.org/W2128233509","https://openalex.org/W2141039252","https://openalex.org/W2154343291","https://openalex.org/W2209436463","https://openalex.org/W2324298973"],"related_works":["https://openalex.org/W2380565719","https://openalex.org/W4245120198","https://openalex.org/W1598269750","https://openalex.org/W2377540451","https://openalex.org/W2381037467","https://openalex.org/W2382217072","https://openalex.org/W580406586","https://openalex.org/W2354922059","https://openalex.org/W2367070861","https://openalex.org/W3046864268"],"abstract_inverted_index":{"Automatic":[0],"defect":[1,18,176],"detection":[2,19,41,131,143,177],"is":[3,54,88],"an":[4,16,64,105],"important":[5],"and":[6,99,172],"challenging":[7],"problem":[8],"in":[9,104,179],"industrial":[10],"quality":[11,23],"inspection.":[12],"This":[13],"paper":[14],"proposes":[15],"efficient":[17],"method":[20],"for":[21,137,149,154],"tire":[22,33,66,138,170],"assurance,":[24],"which":[25,102],"takes":[26],"advantage":[27],"of":[28,32,45,60,63,78,85,93,108,169,181],"the":[29,37,49,75,81,94,109,113,141,161,167,174],"feature":[30,61,69,76],"similarity":[31],"images":[34,151,171],"to":[35,56,73,135],"capture":[36],"anomalies.":[38],"The":[39],"proposed":[40,142,162],"algorithm":[42,144,163],"mainly":[43],"consists":[44],"three":[46],"steps.":[47],"Firstly,":[48],"local":[50],"kernel":[51],"regression":[52],"descriptor":[53],"exploited":[55],"derive":[57],"a":[58,123],"set":[59],"vectors":[62,70],"inspected":[65,110],"image.":[67,111],"These":[68],"are":[71,115],"used":[72],"evaluate":[74],"dissimilarity":[77,95],"pixels.":[79],"Next,":[80],"texture":[82],"distortion":[83],"degree":[84],"each":[86],"pixel":[87,98],"estimated":[89],"by":[90,117],"weighted":[91],"averaging":[92],"between":[96],"one":[97],"its":[100],"neighbors,":[101],"results":[103,158],"anomaly":[106,120],"map":[107,121],"Finally,":[112],"defects":[114,168],"located":[116],"segmenting":[118],"this":[119],"with":[122],"simple":[124],"thresholding":[125],"process.":[126],"Different":[127],"from":[128],"some":[129],"existing":[130],"algorithms":[132,178],"that":[133,160],"fail":[134],"work":[136],"tread":[139,155],"images,":[140],"works":[145],"well":[146],"not":[147],"only":[148],"sidewall":[150],"but":[152],"also":[153],"images.":[156],"Experimental":[157],"demonstrate":[159],"can":[164],"accurately":[165],"locate":[166],"outperforms":[173],"traditional":[175],"terms":[180],"various":[182],"quantitative":[183],"metrics.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}