{"id":"https://openalex.org/W4395676038","doi":"https://doi.org/10.3390/s24092778","title":"Research on Tire Surface Damage Detection Method Based on Image Processing","display_name":"Research on Tire Surface Damage Detection Method Based on Image Processing","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4395676038","doi":"https://doi.org/10.3390/s24092778","pmid":"https://pubmed.ncbi.nlm.nih.gov/38732884"},"language":"en","primary_location":{"id":"doi:10.3390/s24092778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24092778","pdf_url":"https://www.mdpi.com/1424-8220/24/9/2778/pdf?version=1714137225","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/9/2778/pdf?version=1714137225","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100434196","display_name":"Jiaqi Chen","orcid":"https://orcid.org/0000-0002-3262-2854"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Chen","raw_affiliation_strings":["School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067205218","display_name":"Aijuan Li","orcid":"https://orcid.org/0000-0001-9313-6107"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aijuan Li","raw_affiliation_strings":["School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China"],"raw_orcid":"https://orcid.org/0000-0001-9313-6107","affiliations":[{"raw_affiliation_string":"School of Automotive Engineering, Shandong Jiaotong University, Jinan 250357, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101729638","display_name":"Fei Zheng","orcid":"https://orcid.org/0000-0002-6432-0623"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fei Zheng","raw_affiliation_strings":["Research and Development Department, Shandong Wonderful Intelligent Technology Co., Ltd., Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Department, Shandong Wonderful Intelligent Technology Co., Ltd., Jinan 250101, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102655808","display_name":"Shanshan Chen","orcid":"https://orcid.org/0009-0001-4565-3334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shanshan Chen","raw_affiliation_strings":["Research and Development Department, Shandong Wonderful Intelligent Technology Co., Ltd., Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Department, Shandong Wonderful Intelligent Technology Co., Ltd., Jinan 250101, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102826660","display_name":"Weikai He","orcid":"https://orcid.org/0000-0002-1246-1627"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikai He","raw_affiliation_strings":["School of Aeronautics, Shandong Jiaotong University, Jinan 250357, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics, Shandong Jiaotong University, Jinan 250357, China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005025073","display_name":"Guang\u2010Ping Zhang","orcid":"https://orcid.org/0000-0001-7928-4146"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guangping Zhang","raw_affiliation_strings":["Research and Development Department, Shandong Wonderful Intelligent Technology Co., Ltd., Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Department, Shandong Wonderful Intelligent Technology Co., Ltd., Jinan 250101, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067205218","https://openalex.org/A5101729638"],"corresponding_institution_ids":["https://openalex.org/I4210099312"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.9441,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78102669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"9","first_page":"2778","last_page":"2778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13567","display_name":"AI and Multimedia in Education","score":0.9419999718666077,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13567","display_name":"AI and Multimedia in Education","score":0.9419999718666077,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6700466275215149},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6302794218063354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5967817902565002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5744884610176086},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5391957759857178},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5295656323432922},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.448609322309494},{"id":"https://openalex.org/keywords/otsus-method","display_name":"Otsu's method","score":0.4364810585975647},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42650026082992554},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42503905296325684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3877888321876526}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700466275215149},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6302794218063354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5967817902565002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5744884610176086},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5391957759857178},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5295656323432922},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.448609322309494},{"id":"https://openalex.org/C21729346","wikidata":"https://www.wikidata.org/wiki/Q2444417","display_name":"Otsu's method","level":4,"score":0.4364810585975647},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42650026082992554},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42503905296325684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3877888321876526}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24092778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24092778","pdf_url":"https://www.mdpi.com/1424-8220/24/9/2778/pdf?version=1714137225","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38732884","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38732884","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11086247","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11086247","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11086247/pdf/sensors-24-02778.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:3356037bce1d4d2aafd09e8dfcc840f0","is_oa":true,"landing_page_url":"https://doaj.org/article/3356037bce1d4d2aafd09e8dfcc840f0","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":"Sensors, Vol 24, Iss 9, p 2778 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24092778","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24092778","pdf_url":"https://www.mdpi.com/1424-8220/24/9/2778/pdf?version=1714137225","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G7829515433","display_name":null,"funder_award_id":"2021M701405","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306108","display_name":"U.S. Department of Transportation","ror":"https://ror.org/02xfw2e90"},{"id":"https://openalex.org/F4320308724","display_name":"Texas Space Grant Consortium","ror":"https://ror.org/05k1jx057"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4395676038.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2071534821","https://openalex.org/W2147223569","https://openalex.org/W2015185374","https://openalex.org/W2981960317","https://openalex.org/W3162267746","https://openalex.org/W2360695088","https://openalex.org/W2377426844","https://openalex.org/W1614535104","https://openalex.org/W2541611006","https://openalex.org/W4306937392"],"abstract_inverted_index":{"The":[0,161],"performance":[1],"of":[2,14,22,55,75,101,137,179],"the":[3,11,15,19,23,48,52,56,73,84,91,98,102,106,112,123,132,138,142,155,166,172,177],"tire":[4,59,76],"has":[5],"a":[6,58],"very":[7],"important":[8],"impact":[9],"on":[10,65,116,151],"safe":[12],"driving":[13],"car,":[16],"and":[17,40,105,134,141,148,154,171],"in":[18,51],"actual":[20],"use":[21,31],"tire,":[24,57],"due":[25],"to":[26,45,96,130],"complex":[27],"road":[28],"conditions":[29],"or":[30],"conditions,":[32],"it":[33],"will":[34],"inevitably":[35],"cause":[36],"immeasurable":[37],"wear,":[38],"scratches":[39],"other":[41],"damage.":[42],"In":[43,70],"order":[44],"effectively":[46],"detect":[47],"damage":[49,61,173],"existing":[50],"key":[53],"parts":[54],"surface":[60],"detection":[62,126,168],"method":[63,127],"based":[64,115,150],"image":[66,74,113,145],"processing":[67],"was":[68],"proposed.":[69],"this":[71],"method,":[72],"side":[77],"is":[78,109,119,128,146,158,169],"captured":[79],"by":[80,89],"camera":[81],"first.":[82],"Then,":[83],"collected":[85],"images":[86],"are":[87],"preprocessed":[88],"optimizing":[90],"multi-scale":[92],"bilateral":[93],"filtering":[94],"algorithm":[95,118],"enhance":[97],"detailed":[99],"information":[100],"damaged":[103],"area,":[104],"optimization":[107],"effect":[108],"obvious.":[110],"Thirdly,":[111],"segmentation":[114],"clustering":[117],"carried":[120],"out.":[121],"Finally,":[122],"Harris":[124],"corner":[125,136],"used":[129],"capture":[131],"\"salt":[133],"pepper\"":[135],"target":[139,156],"region,":[140],"segmsegmed":[143],"binary":[144],"screened":[147],"matched":[149],"histogram":[152],"correlation,":[153],"region":[157],"finally":[159],"obtained.":[160],"experimental":[162],"results":[163],"show":[164],"that":[165],"similarity":[167],"accurate,":[170],"area":[174],"can":[175],"meet":[176],"requirements":[178],"accurate":[180],"identification.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
