{"id":"https://openalex.org/W1862829300","doi":"https://doi.org/10.1111/mice.12042","title":"Road Crack Detection Using Visual Features Extracted by Gabor Filters","display_name":"Road Crack Detection Using Visual Features Extracted by Gabor Filters","publication_year":2013,"publication_date":"2013-09-03","ids":{"openalex":"https://openalex.org/W1862829300","doi":"https://doi.org/10.1111/mice.12042","mag":"1862829300"},"language":"en","primary_location":{"id":"doi:10.1111/mice.12042","doi":"https://doi.org/10.1111/mice.12042","is_oa":true,"landing_page_url":"https://doi.org/10.1111/mice.12042","pdf_url":null,"source":{"id":"https://openalex.org/S206927758","display_name":"Computer-Aided Civil and Infrastructure Engineering","issn_l":"1093-9687","issn":["1093-9687","1467-8667"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer-Aided Civil and Infrastructure Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1111/mice.12042","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026382887","display_name":"Eduardo Zalama","orcid":"https://orcid.org/0000-0001-7283-5574","observed_orcids":["https://orcid.org/0000-0001-7283-5574"]},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Eduardo Zalama","raw_affiliation_strings":["University of Valladolid, ITAP-DISA, Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Valladolid, ITAP-DISA, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082575748","display_name":"Jaime G\u00f3mez\u2010Garc\u00eda\u2010Bermejo","orcid":"https://orcid.org/0000-0003-4763-5356","observed_orcids":["https://orcid.org/0000-0003-4763-5356"]},"institutions":[{"id":"https://openalex.org/I108103353","display_name":"Universidad de Valladolid","ror":"https://ror.org/01fvbaw18","country_code":"ES","type":"education","lineage":["https://openalex.org/I108103353"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jaime G\u00f3mez\u2010Garc\u00eda\u2010Bermejo","raw_affiliation_strings":["University of Valladolid, ITAP-DISA, Valladolid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Valladolid, ITAP-DISA, Valladolid, Spain","institution_ids":["https://openalex.org/I108103353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032741172","display_name":"Roberto Medina","orcid":"https://orcid.org/0000-0003-1551-2765","observed_orcids":["https://orcid.org/0000-0003-1551-2765"]},"institutions":[{"id":"https://openalex.org/I4210137274","display_name":"CARTIF","ror":"https://ror.org/036krsg33","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210137274"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Medina","raw_affiliation_strings":["CARTIF Foundation, Parque Tecnolo\u0301gico de Boecillo, Valladolid, Spain","CARTIF Foundation Parque Tecnol\u00f3gico de Boecillo  Valladolid Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CARTIF Foundation, Parque Tecnolo\u0301gico de Boecillo, Valladolid, Spain","institution_ids":["https://openalex.org/I4210137274"]},{"raw_affiliation_string":"CARTIF Foundation Parque Tecnol\u00f3gico de Boecillo  Valladolid Spain","institution_ids":["https://openalex.org/I4210137274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021805934","display_name":"Jos\u00e9 Llamas","orcid":"https://orcid.org/0000-0003-1987-0359","observed_orcids":["https://orcid.org/0000-0003-1987-0359"]},"institutions":[{"id":"https://openalex.org/I4210137274","display_name":"CARTIF","ror":"https://ror.org/036krsg33","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210137274"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Llamas","raw_affiliation_strings":["CARTIF Foundation, Parque Tecnolo\u0301gico de Boecillo, Valladolid, Spain","CARTIF Foundation Parque Tecnol\u00f3gico de Boecillo  Valladolid Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CARTIF Foundation, Parque Tecnolo\u0301gico de Boecillo, Valladolid, Spain","institution_ids":["https://openalex.org/I4210137274"]},{"raw_affiliation_string":"CARTIF Foundation Parque Tecnol\u00f3gico de Boecillo  Valladolid Spain","institution_ids":["https://openalex.org/I4210137274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026382887"],"corresponding_institution_ids":["https://openalex.org/I108103353"],"apc_list":{"value":5230,"currency":"USD","value_usd":5230},"apc_paid":{"value":5230,"currency":"USD","value_usd":5230},"fwci":11.7114,"has_fulltext":false,"cited_by_count":302,"citation_normalized_percentile":{"value":0.98271695,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"29","issue":"5","first_page":"342","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"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":1.0,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.0,"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/road-crack-detection","display_name":"road crack detection","score":0.9750000238418579},{"id":"https://openalex.org/keywords/gabor-filters","display_name":"Gabor filters","score":0.9409999847412109},{"id":"https://openalex.org/keywords/pavement-management","display_name":"pavement management","score":0.6510000228881836},{"id":"https://openalex.org/keywords/longitudinal-cracks","display_name":"longitudinal cracks","score":0.7310000061988831},{"id":"https://openalex.org/keywords/transverse-cracking","display_name":"transverse cracking","score":1.0},{"id":"https://openalex.org/keywords/instrumented-vehicle","display_name":"instrumented vehicle","score":0.777999997138977},{"id":"https://openalex.org/keywords/webcam-imagery","display_name":"webcam imagery","score":0.5009999871253967},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.8180000185966492},{"id":"https://openalex.org/keywords/visual-features","display_name":"visual features","score":0.45500001311302185},{"id":"https://openalex.org/keywords/road-condition-assessment","display_name":"road condition assessment","score":0.5090000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6785268783569336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6655031442642212},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6267361044883728},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5961321592330933},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5689371824264526},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5176173448562622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4928553104400635},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.49183201789855957},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.48707249760627747},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.17908146977424622},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1111/mice.12042","doi":"https://doi.org/10.1111/mice.12042","is_oa":true,"landing_page_url":"https://doi.org/10.1111/mice.12042","pdf_url":null,"source":{"id":"https://openalex.org/S206927758","display_name":"Computer-Aided Civil and Infrastructure Engineering","issn_l":"1093-9687","issn":["1093-9687","1467-8667"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer-Aided Civil and Infrastructure Engineering","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:3452130","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/3452130","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1111/mice.12042","doi":"https://doi.org/10.1111/mice.12042","is_oa":true,"landing_page_url":"https://doi.org/10.1111/mice.12042","pdf_url":null,"source":{"id":"https://openalex.org/S206927758","display_name":"Computer-Aided Civil and Infrastructure Engineering","issn_l":"1093-9687","issn":["1093-9687","1467-8667"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer-Aided Civil and Infrastructure Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":1.0}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W629008149","https://openalex.org/W765530058","https://openalex.org/W1506121367","https://openalex.org/W1509636799","https://openalex.org/W1513670756","https://openalex.org/W1575083454","https://openalex.org/W1585605815","https://openalex.org/W1607442962","https://openalex.org/W1960097882","https://openalex.org/W1963782251","https://openalex.org/W1977248767","https://openalex.org/W2003812729","https://openalex.org/W2006500012","https://openalex.org/W2014141335","https://openalex.org/W2019293132","https://openalex.org/W2027528832","https://openalex.org/W2028507901","https://openalex.org/W2033819500","https://openalex.org/W2061358509","https://openalex.org/W2062434559","https://openalex.org/W2067173330","https://openalex.org/W2069223289","https://openalex.org/W2070758399","https://openalex.org/W2071340116","https://openalex.org/W2082524657","https://openalex.org/W2098827790","https://openalex.org/W2099967398","https://openalex.org/W2101227080","https://openalex.org/W2101807845","https://openalex.org/W2103919309","https://openalex.org/W2115718371","https://openalex.org/W2117395697","https://openalex.org/W2138014601","https://openalex.org/W2138584058","https://openalex.org/W2144801789","https://openalex.org/W2158698691","https://openalex.org/W2160918136","https://openalex.org/W2163222181","https://openalex.org/W2169856283","https://openalex.org/W2171181782","https://openalex.org/W4214856487","https://openalex.org/W4230587794","https://openalex.org/W4247598428"],"related_works":["https://openalex.org/W2079054397","https://openalex.org/W78381488","https://openalex.org/W4285192321","https://openalex.org/W2893868611","https://openalex.org/W2316676669","https://openalex.org/W2019496031","https://openalex.org/W4319787315","https://openalex.org/W2370039016","https://openalex.org/W2006711847","https://openalex.org/W2061850396"],"abstract_inverted_index":{"Pavement":[0],"management":[1],"systems":[2],"require":[3],"detailed":[4],"information":[5],"of":[6,10,28,67,82,105,125],"the":[7,11,26,65,68,80,89,103,106,123,126,141,145,164],"current":[8],"state":[9,66],"roads":[12],"to":[13,17,34,87,97,160],"take":[14],"appropriate":[15],"actions":[16],"optimize":[18],"expenditure":[19],"on":[20,43,79],"maintenance":[21],"and":[22,60,91,102,139,158,162,167,169],"rehabilitation.":[23],"In":[24],"particular,":[25],"presence":[27],"cracks":[29],"is":[30,70,85,135],"a":[31,40,55,61,149],"cardinal":[32],"aspect":[33],"be":[35],"considered.":[36],"This":[37],"article":[38],"presents":[39],"solution":[41],"based":[42,78],"an":[44,49,132],"instrumented":[45],"vehicle":[46],"equipped":[47],"with":[48,177],"imaging":[50],"system,":[51],"two":[52],"Inertial":[53],"Profilers,":[54],"Differential":[56],"Global":[57],"Positioning":[58],"System,":[59],"webcam.":[62],"Information":[63],"about":[64],"road":[69,74],"acquired":[71,157],"at":[72],"normal":[73],"speed.":[75],"A":[76,152],"method":[77],"use":[81,104],"Gabor":[83,99],"filters":[84],"used":[86,96,136,159],"detect":[88],"longitudinal":[90],"transverse":[92],"cracks.":[93],"The":[94],"methodologies":[95,120],"create":[98],"filter":[100],"banks":[101],"filtered":[107],"images":[108],"as":[109],"descriptors":[110],"for":[111,121,137],"subsequent":[112],"classifiers":[113,127],"are":[114,128],"discussed":[115],"in":[116,175],"detail.":[117],"Three":[118],"different":[119],"setting":[122],"threshold":[124],"also":[129],"evaluated.":[130],"Finally,":[131],"AdaBoost":[133],"algorithm":[134],"selecting":[138],"combining":[140],"classifiers,":[142],"thus":[143],"improving":[144],"results":[146,171],"provided":[147],"by":[148],"single":[150],"classifier.":[151],"large":[153],"database":[154],"has":[155],"been":[156,173],"train":[161],"test":[163],"proposed":[165],"system":[166],"methods,":[168],"suitable":[170],"have":[172],"obtained":[174],"comparison":[176],"other":[178],"reference":[179],"works.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":37},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
