{"id":"https://openalex.org/W2965295724","doi":"https://doi.org/10.1109/tits.2019.2929483","title":"Linear Seam Elimination of Tunnel Crack Images Based on Statistical Specific Pixels Ratio and Adaptive Fragmented Segmentation","display_name":"Linear Seam Elimination of Tunnel Crack Images Based on Statistical Specific Pixels Ratio and Adaptive Fragmented Segmentation","publication_year":2019,"publication_date":"2019-07-26","ids":{"openalex":"https://openalex.org/W2965295724","doi":"https://doi.org/10.1109/tits.2019.2929483","mag":"2965295724"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2929483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2929483","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5001474262","display_name":"Zhong Qu","orcid":"https://orcid.org/0000-0001-7013-4854"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhong Qu","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045526882","display_name":"Si-Qi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Qi Chen","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044072965","display_name":"Yuqin Liu","orcid":"https://orcid.org/0000-0003-1858-6348"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Qin Liu","raw_affiliation_strings":["School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605742","display_name":"Ling Liu","orcid":"https://orcid.org/0009-0008-5660-1282"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Liu","raw_affiliation_strings":["College of Mobile Telecommunications, Chongqing University of Posts and Telecom, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Mobile Telecommunications, Chongqing University of Posts and Telecom, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001474262"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":2.8862,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89526386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"9","first_page":"3599","last_page":"3607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998000264167786,"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":0.9998000264167786,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9801999926567078,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6750968098640442},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6206846833229065},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5835542678833008},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5243659019470215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512575089931488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4903097450733185},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.48790809512138367},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.47288647294044495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4662890136241913},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4218325614929199},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38981667160987854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35767072439193726},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3459828495979309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22894766926765442},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19291725754737854}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6750968098640442},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6206846833229065},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5835542678833008},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5243659019470215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512575089931488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4903097450733185},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.48790809512138367},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47288647294044495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4662890136241913},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4218325614929199},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38981667160987854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35767072439193726},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3459828495979309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22894766926765442},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19291725754737854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2019.2929483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2929483","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G1704510910","display_name":null,"funder_award_id":"cstc2015jcyjBX0090","funder_id":"https://openalex.org/F4320335870","funder_display_name":"Chongqing Basic and Frontier Research Project"},{"id":"https://openalex.org/G8095172190","display_name":null,"funder_award_id":"61701060","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/F4320335870","display_name":"Chongqing Basic and Frontier Research Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1975831815","https://openalex.org/W1989208478","https://openalex.org/W2008665443","https://openalex.org/W2021278996","https://openalex.org/W2057710539","https://openalex.org/W2063345441","https://openalex.org/W2071905184","https://openalex.org/W2104766217","https://openalex.org/W2106097225","https://openalex.org/W2144801789","https://openalex.org/W2156953558","https://openalex.org/W2158131861","https://openalex.org/W2158698691","https://openalex.org/W2160072137","https://openalex.org/W2160970646","https://openalex.org/W2244003928","https://openalex.org/W2271158160","https://openalex.org/W2316653434","https://openalex.org/W2325975990","https://openalex.org/W2332793506","https://openalex.org/W2402348871","https://openalex.org/W2407692387","https://openalex.org/W2516018335","https://openalex.org/W2523358814","https://openalex.org/W2553813712","https://openalex.org/W2598457882","https://openalex.org/W2765854388","https://openalex.org/W2799553422","https://openalex.org/W2800856114","https://openalex.org/W2887092226","https://openalex.org/W2899242765","https://openalex.org/W2964284340","https://openalex.org/W3124058835"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2116510815","https://openalex.org/W17460865","https://openalex.org/W2372578044"],"abstract_inverted_index":{"Image":[0],"processing":[1],"basis":[2,15],"crack":[3,16,52,58,77],"detection":[4,17],"methods":[5,54],"can":[6,20,156,163],"overcome":[7],"the":[8,87,109,118,122,135,142,170],"deficiency":[9],"of":[10,82,89,111,137,145,175],"traditional":[11],"manual":[12],"and":[13,19,34,44,85,124,153,160,173],"instrument":[14],"methods,":[18],"provide":[21],"an":[22],"important":[23],"guiding":[24],"for":[25,29,50],"damage":[26],"evaluation.":[27],"However,":[28],"tunnel":[30,75],"lining":[31,76],"surface,":[32],"cracks":[33,152],"linear":[35,72,83,131,146,154,161],"seams":[36,73,84,147,155,162],"have":[37],"great":[38],"similarities":[39],"in":[40,74],"both":[41],"intensity":[42],"value":[43],"texture":[45],"features,":[46],"it":[47],"is":[48,91],"difficult":[49],"existing":[51,180],"extraction":[53],"to":[55,69,93,129],"obtain":[56],"accurate":[57],"segmentation":[59],"results.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"proposed":[65],"a":[66],"novel":[67],"algorithm":[68],"adaptively":[70],"eliminate":[71],"images.":[78],"By":[79],"analyzing":[80],"characteristics":[81],"cracks,":[86],"idea":[88],"binning":[90,125],"used":[92,128],"classify":[94],"those":[95],"detected":[96],"line":[97,120],"edges":[98,133],"with":[99,134,179],"disordered":[100],"directions":[101],"into":[102],"multiple":[103],"angle":[104],"subintervals.":[105],"Then,":[106],"by":[107],"calculating":[108],"ratio":[110],"statistical":[112],"specific":[113],"pixels":[114],"(SSP":[115],"ratio)":[116],"on":[117],"expanded":[119],"edge,":[121],"length":[123],"information":[126],"are":[127,148],"select":[130],"seam":[132],"use":[136],"adaptive":[138],"expansion":[139],"algorithm.":[140],"Finally,":[141],"fragmented":[143],"segmentations":[144],"adopted":[149],"so":[150],"that":[151],"be":[157,164],"clearly":[158],"separated,":[159],"removed.":[165],"The":[166],"experimental":[167],"results":[168],"demonstrate":[169],"superior":[171],"precision":[172],"efficiency":[174],"our":[176],"method":[177],"compared":[178],"methods.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}