{"id":"https://openalex.org/W2626688319","doi":"https://doi.org/10.1186/s13640-017-0187-0","title":"Efficient pavement crack detection and classification","display_name":"Efficient pavement crack detection and classification","publication_year":2017,"publication_date":"2017-06-13","ids":{"openalex":"https://openalex.org/W2626688319","doi":"https://doi.org/10.1186/s13640-017-0187-0","mag":"2626688319"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-017-0187-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-017-0187-0","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0187-0","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0187-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049147465","display_name":"A. Cubero-Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-2609-4784"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"A. Cubero-Fernandez","raw_affiliation_strings":["ATC:1-5, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain"],"raw_orcid":"https://orcid.org/0000-0002-2609-4784","affiliations":[{"raw_affiliation_string":"ATC:1-5, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027533950","display_name":"Francisco J. Rodriguez\u2010Lozano","orcid":"https://orcid.org/0000-0003-3560-1407"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fco. J. Rodriguez-Lozano","raw_affiliation_strings":["ATC:1-5, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATC:1-5, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016878526","display_name":"Rafael Villatoro","orcid":null},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Villatoro","raw_affiliation_strings":["ATC:1-5, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATC:1-5, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023545791","display_name":"Joaqu\u00edn Olivares","orcid":"https://orcid.org/0000-0003-2584-5491"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joaquin Olivares","raw_affiliation_strings":["LV6B170, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LV6B170, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077291725","display_name":"Jos\u00e9 M. Palomares","orcid":"https://orcid.org/0000-0001-5564-7889"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose M. Palomares","raw_affiliation_strings":["LV6B170, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LV6B170, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Cordoba, Cordoba, 14071, Spain","institution_ids":["https://openalex.org/I53110688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049147465"],"corresponding_institution_ids":["https://openalex.org/I53110688"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":13.4613,"has_fulltext":true,"cited_by_count":221,"citation_normalized_percentile":{"value":0.99369828,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"2017","issue":"1","first_page":null,"last_page":null},"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9958999752998352,"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":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7202423810958862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6286756992340088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5675712823867798},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5593469142913818},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.521220326423645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4828389286994934},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4811862111091614},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4575059413909912},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4390127658843994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43648552894592285},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42919501662254333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41451576352119446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.240505188703537}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7202423810958862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6286756992340088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5675712823867798},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5593469142913818},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.521220326423645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4828389286994934},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4811862111091614},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4575059413909912},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4390127658843994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43648552894592285},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42919501662254333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41451576352119446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.240505188703537},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s13640-017-0187-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-017-0187-0","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0187-0","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec6e4831205a4cc299f6a4b4d63fd3d2","is_oa":true,"landing_page_url":"https://doaj.org/article/ec6e4831205a4cc299f6a4b4d63fd3d2","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":"EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-11 (2017)","raw_type":"article"},{"id":"pmh:oai:helvia.uco.es:10396/29451","is_oa":true,"landing_page_url":"http://hdl.handle.net/10396/29451","pdf_url":null,"source":{"id":"https://openalex.org/S4306401816","display_name":"Universidad de C\u00f3rdoba Insitutional Repository (Universidad de C\u00f3rdoba)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210163269","host_organization_name":"Universidad Paccioli de C\u00f3rdoba","host_organization_lineage":["https://openalex.org/I4210163269"],"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":"Cubero-Fernandez, A., Rodriguez-Lozano, F.J., Villatoro, R. et al. Efficient pavement crack detection and classification. J Image Video Proc. 2017, 39 (2017).","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s13640-017-0187-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-017-0187-0","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-017-0187-0","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2626688319.pdf","grobid_xml":"https://content.openalex.org/works/W2626688319.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W87845390","https://openalex.org/W1494346412","https://openalex.org/W1505855572","https://openalex.org/W1525217426","https://openalex.org/W1969393996","https://openalex.org/W1974605586","https://openalex.org/W2004025832","https://openalex.org/W2033819500","https://openalex.org/W2046670074","https://openalex.org/W2065533005","https://openalex.org/W2077909592","https://openalex.org/W2082505460","https://openalex.org/W2097886433","https://openalex.org/W2099244020","https://openalex.org/W2104763670","https://openalex.org/W2114288178","https://openalex.org/W2118169715","https://openalex.org/W2125055259","https://openalex.org/W2132628813","https://openalex.org/W2133990480","https://openalex.org/W2144801789","https://openalex.org/W2145023731","https://openalex.org/W2149463365","https://openalex.org/W2149706766","https://openalex.org/W2163352987","https://openalex.org/W2244684328","https://openalex.org/W2276680469","https://openalex.org/W2562894128","https://openalex.org/W3210232381"],"related_works":["https://openalex.org/W2952185452","https://openalex.org/W2798106756","https://openalex.org/W2397288865","https://openalex.org/W2046736294","https://openalex.org/W2368524271","https://openalex.org/W4247116873","https://openalex.org/W2576709312","https://openalex.org/W2023657818","https://openalex.org/W2980815195","https://openalex.org/W2392797073"],"abstract_inverted_index":{"Each":[0],"year,":[1],"millions":[2],"of":[3,22,30,35,40,117,119,126,131],"dollars":[4],"are":[5,70,74],"invested":[6],"on":[7],"road":[8],"maintenance":[9],"and":[10,93,123],"reparation":[11,65],"all":[12],"over":[13],"the":[14,23,27,56,58,62,64,68,80,85,110,129,132],"world.":[15],"In":[16],"order":[17,77],"to":[18,78,107],"minimize":[19],"costs,":[20],"one":[21],"main":[24,81],"aspects":[25],"is":[26,48,60,105],"early":[28],"detection":[29,47],"those":[31],"flaws.":[32],"Different":[33],"types":[34,39],"cracks":[36,86,122],"require":[37],"different":[38],"repairs;":[41],"therefore,":[42],"not":[43],"only":[44],"a":[45,51,94,100,139],"crack":[46,52,59],"required":[49],"but":[50],"type":[53,130],"classification.":[54],"Also,":[55],"earlier":[57],"detected,":[61],"cheaper":[63],"is.":[66],"Once":[67],"images":[69],"captured,":[71],"several":[72],"processes":[73],"applied":[75,106],"in":[76,138],"extract":[79],"characteristics":[82],"for":[83],"emphasizing":[84],"(logarithmic":[87],"transformation,":[88],"bilateral":[89],"filter,":[90],"Canny":[91],"algorithm,":[92],"morphological":[95],"filter).":[96],"After":[97],"image":[98],"preprocessing,":[99],"decision":[101],"tree":[102],"heuristic":[103],"algorithm":[104],"finally":[108],"classify":[109],"image.":[111],"This":[112],"work":[113],"obtained":[114],"an":[115,124],"average":[116],"88%":[118],"success":[120,127],"detecting":[121,128],"80%":[125],"crack.":[133],"It":[134],"could":[135],"be":[136],"implemented":[137],"vehicle":[140],"traveling":[141],"as":[142,144],"fast":[143],"130":[145],"kmh":[146],"or":[147],"81":[148],"mph.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":13}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}