{"id":"https://openalex.org/W3035841695","doi":"https://doi.org/10.1109/access.2020.3003089","title":"Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation","display_name":"Defect Inspection in Tire Radiographic Image Using Concise Semantic Segmentation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3035841695","doi":"https://doi.org/10.1109/access.2020.3003089","mag":"3035841695"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3003089","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003089","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119415.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/ielx7/6287639/8948470/09119415.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052616893","display_name":"Zhouzhou Zheng","orcid":"https://orcid.org/0000-0002-0822-1436"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouzhou Zheng","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378892","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0002-7998-3139"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646131","display_name":"Bin Yu","orcid":"https://orcid.org/0000-0002-2453-7852"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yu","raw_affiliation_strings":["College of Mathematics, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-2453-7852","affiliations":[{"raw_affiliation_string":"College of Mathematics, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065209039","display_name":"Qingdang Li","orcid":"https://orcid.org/0000-0002-2272-4830"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingdang Li","raw_affiliation_strings":["College of Sino-German Science and Technology, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Sino-German Science and Technology, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706791","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0002-5137-733X"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5137-733X","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I143413998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143413998"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.9726,"has_fulltext":true,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96374258,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"112674","last_page":"112687"},"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":0.9970999956130981,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.7393312454223633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7352482676506042},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6825127601623535},{"id":"https://openalex.org/keywords/visual-inspection","display_name":"Visual inspection","score":0.66192626953125},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6162576675415039},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6161769032478333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5517956614494324},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5299248099327087},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5257754325866699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47221213579177856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7393312454223633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7352482676506042},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6825127601623535},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.66192626953125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6162576675415039},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6161769032478333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5517956614494324},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5299248099327087},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5257754325866699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47221213579177856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3003089","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003089","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119415.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:b13f77f9d86b48e59740a4bc644eeb65","is_oa":true,"landing_page_url":"https://doaj.org/article/b13f77f9d86b48e59740a4bc644eeb65","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 8, Pp 112674-112687 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3003089","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003089","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119415.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/G1176861179","display_name":null,"funder_award_id":"ZR2019MEE066","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G4584194089","display_name":null,"funder_award_id":"ZR2018MC007","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035841695.pdf","grobid_xml":"https://content.openalex.org/works/W3035841695.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1487718959","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1965126781","https://openalex.org/W1996127575","https://openalex.org/W2020896637","https://openalex.org/W2036421441","https://openalex.org/W2038562397","https://openalex.org/W2050382110","https://openalex.org/W2092245247","https://openalex.org/W2154343291","https://openalex.org/W2186477956","https://openalex.org/W2209436463","https://openalex.org/W2300147725","https://openalex.org/W2525076183","https://openalex.org/W2589306531","https://openalex.org/W2741224071","https://openalex.org/W2803097213","https://openalex.org/W2807103388","https://openalex.org/W2807234793","https://openalex.org/W2886037842","https://openalex.org/W2886934227","https://openalex.org/W2890296456","https://openalex.org/W2892923422","https://openalex.org/W2921163360","https://openalex.org/W2926743806","https://openalex.org/W2943164958","https://openalex.org/W2943931219","https://openalex.org/W2946313203","https://openalex.org/W2963150697","https://openalex.org/W2963217233","https://openalex.org/W2963881378","https://openalex.org/W2972629588","https://openalex.org/W4237845914","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6682823595","https://openalex.org/W6686787044","https://openalex.org/W6751146195"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2781569684","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Automated":[0],"tire":[1,11,28,31,50,64,72,180],"visual":[2,33,65],"inspection":[3,34],"plays":[4],"an":[5,69,80],"extraordinary":[6],"important":[7],"role":[8],"in":[9],"ensuring":[10],"quality":[12],"and":[13,23,85,103,114,125],"driving":[14],"safety.":[15],"Due":[16],"to":[17,118],"the":[18,39,77,96,135,140,176],"anisotropic":[19],"complex":[20],"multi":[21],"texture":[22],"defect":[24,51,73,101,112,152],"diversity":[25],"characteristic":[26],"of":[27,38,42,79,138,143,151,178],"radiographic":[29],"image,":[30],"intelligent":[32,43],"has":[35],"become":[36],"one":[37],"technical":[40],"bottlenecks":[41],"manufacturing.":[44],"In":[45],"this":[46],"work,":[47],"a":[48,86],"novel":[49],"detection":[52,74,102],"model":[53,123],"using":[54],"Concise":[55],"Semantic":[56],"Segmentation":[57],"Network":[58],"(Concise-SSN)":[59],"is":[60,154],"investigated":[61],"for":[62,91],"automated":[63],"inspection.":[66],"We":[67],"perform":[68],"end-to-end":[70,97],"pixel-wise":[71,98],"by":[75],"combining":[76],"power":[78],"optimized":[81],"semantic":[82],"segmentation":[83,113],"network":[84,90],"compact":[87],"convolutional":[88],"neural":[89],"classification.":[92,104],"It":[93],"can":[94,174],"achieve":[95],"full":[99],"class":[100],"The":[105,149],"experimental":[106],"results":[107,169],"show":[108,160],"superior":[109],"performance":[110],"on":[111,145,156,170],"classification":[115,153],"tasks":[116],"compared":[117],"state-of-the-art":[119],"models":[120],"with":[121,167],"smaller":[122],"size":[124],"faster":[126,161],"computation.":[127],"Comparative":[128],"experiments":[129],"indicated":[130],"that":[131],"our":[132,146,171],"Concise-SSN":[133],"achieves":[134],"mPA":[136],"score":[137,142],"85.13%,":[139],"mIoU":[141],"77.34%":[144],"test":[147],"set.":[148],"accuracy":[150],"96.5%":[155],"average.":[157],"Finally,":[158],"we":[159],"computation":[162],"(0.132":[163],"seconds":[164],"per":[165],"image)":[166],"competitive":[168],"dataset,":[172],"which":[173],"meet":[175],"needs":[177],"online":[179],"detection.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
