{"id":"https://openalex.org/W2046323558","doi":"https://doi.org/10.1117/12.2064255","title":"Subway tunnel crack identification algorithm research based on image processing","display_name":"Subway tunnel crack identification algorithm research based on image processing","publication_year":2014,"publication_date":"2014-04-16","ids":{"openalex":"https://openalex.org/W2046323558","doi":"https://doi.org/10.1117/12.2064255","mag":"2046323558"},"language":"en","primary_location":{"id":"doi:10.1117/12.2064255","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2064255","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052019180","display_name":"Biao Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Bai","raw_affiliation_strings":["Beijing Jiaotong Univ. (China)","\u00a0Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"\u00a0Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004264337","display_name":"Liqiang Zhu","orcid":"https://orcid.org/0000-0002-5436-6660"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Zhu","raw_affiliation_strings":["Beijing Jiaotong Univ. (China)","\u00a0Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"\u00a0Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102958250","display_name":"Yaodong Wang","orcid":"https://orcid.org/0009-0003-6926-3183"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaodong Wang","raw_affiliation_strings":["Beijing Jiaotong Univ. (China)","\u00a0Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Univ. (China)","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"\u00a0Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16533333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9159","issue":null,"first_page":"91590X","last_page":"91590X"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9962000250816345,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9804999828338623,"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/identification","display_name":"Identification (biology)","score":0.6348068714141846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5832661390304565},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5623025298118591},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4442426562309265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.434050589799881},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42502227425575256},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4112697243690491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38683992624282837}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6348068714141846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5832661390304565},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5623025298118591},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4442426562309265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.434050589799881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42502227425575256},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4112697243690491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38683992624282837},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2064255","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2064255","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5899999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1904737552","https://openalex.org/W2059208457","https://openalex.org/W2077053347"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W2765200542","https://openalex.org/W2367893528","https://openalex.org/W3107784576","https://openalex.org/W242750434"],"abstract_inverted_index":{"The":[0,64,77,93],"detection":[1],"of":[2,51,83,86],"cracks":[3,47],"in":[4,24,48,56],"tunnels":[5,53],"has":[6],"profound":[7],"impact":[8],"on":[9,89],"the":[10,81,90,98],"tunnel\u2019s":[11],"safety.":[12],"It\u2019s":[13],"common":[14],"for":[15,36,45,103],"low":[16],"contrast,":[17],"uneven":[18],"illumination":[19],"and":[20,73],"severe":[21],"noise":[22],"pollution":[23],"tunnel":[25,38,105],"surface":[26,49,106],"images.":[27],"As":[28],"traditional":[29],"image":[30,42],"processing":[31,43],"algorithms":[32],"are":[33],"not":[34],"suitable":[35],"detecting":[37,46,104],"cracks,":[39],"a":[40,68],"new":[41],"method":[44],"images":[50],"subway":[52],"is":[54,67,80,101],"presented":[55],"this":[57],"paper.":[58],"This":[59],"algorithm":[60,100],"includes":[61],"two":[62],"steps.":[63],"first":[65],"step":[66,79],"preprocessing":[69],"which":[70],"uses":[71],"global":[72],"local":[74],"methods":[75],"simultaneously.":[76],"second":[78],"elimination":[82],"different":[84],"types":[85],"noises":[87],"based":[88],"connected":[91],"components.":[92],"experimental":[94],"results":[95],"show":[96],"that":[97],"proposed":[99],"effective":[102],"cracks.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
