{"id":"https://openalex.org/W2766871041","doi":"https://doi.org/10.23919/eusipco.2017.8081565","title":"Road surface crack detection: Improved segmentation with pixel-based refinement","display_name":"Road surface crack detection: Improved segmentation with pixel-based refinement","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2766871041","doi":"https://doi.org/10.23919/eusipco.2017.8081565","mag":"2766871041"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081565","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","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/A5072254274","display_name":"Henrique Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I2802390120","display_name":"Instituto Polit\u00e9cnico de Beja","ror":"https://ror.org/00t9n0h58","country_code":"PT","type":"education","lineage":["https://openalex.org/I2802390120"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Henrique Oliveira","raw_affiliation_strings":["Instituto de Telccomunica\u00e7\u00f5cs, Lisbon Instituto Politecnico de Beja, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telccomunica\u00e7\u00f5cs, Lisbon Instituto Politecnico de Beja, Portugal","institution_ids":["https://openalex.org/I2802390120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019322980","display_name":"Paulo Lobato Correia","orcid":null},"institutions":[{"id":"https://openalex.org/I2802390120","display_name":"Instituto Polit\u00e9cnico de Beja","ror":"https://ror.org/00t9n0h58","country_code":"PT","type":"education","lineage":["https://openalex.org/I2802390120"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Paulo Lobato Correia","raw_affiliation_strings":["Instituto de Telccomunica\u00e7\u00f5cs, Lisbon Instituto Politecnico de Beja, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telccomunica\u00e7\u00f5cs, Lisbon Instituto Politecnico de Beja, Portugal","institution_ids":["https://openalex.org/I2802390120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072254274"],"corresponding_institution_ids":["https://openalex.org/I2802390120"],"apc_list":null,"apc_paid":null,"fwci":3.1891,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.90965044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2026","last_page":"2030"},"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":0.9991000294685364,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9815000295639038,"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/segmentation","display_name":"Segmentation","score":0.7828901410102844},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7710702419281006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5962924361228943},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5532914996147156},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5430170893669128},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5120118260383606},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.4792192578315735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4780631363391876},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41283804178237915},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3863394260406494},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1808740496635437}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7828901410102844},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7710702419281006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5962924361228943},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5532914996147156},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5430170893669128},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5120118260383606},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.4792192578315735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4780631363391876},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41283804178237915},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3863394260406494},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1808740496635437},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081565","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W2074925468","https://openalex.org/W2116622845","https://openalex.org/W2150134853","https://openalex.org/W2523358814","https://openalex.org/W6677667542"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2149980199","https://openalex.org/W2019977573","https://openalex.org/W2183246718"],"abstract_inverted_index":{"Cracks":[0],"are":[1],"among":[2],"the":[3,45,57,127,138,144,148,156,159,180,183],"most":[4],"commonly":[5],"found":[6],"road":[7,12,20,91],"surface":[8,22,60],"degradations,":[9],"requiring":[10],"periodical":[11],"surveys":[13],"for":[14,66,173],"monitoring":[15],"pavement":[16,21,59,92],"quality.":[17],"Images":[18],"of":[19,37,47,113,129,158,200],"can":[23],"be":[24],"automatically":[25],"processed,":[26],"typically":[27],"employing":[28],"segmentation":[29,106,120,164,208],"algorithms":[30],"to":[31,44,56,84,146,169],"identify":[32,85,147],"cracks.":[33],"However,":[34],"a":[35,70,81,100,177],"set":[36],"distinct":[38],"connected":[39],"components":[40],"often":[41,64],"result,":[42],"leading":[43],"detection":[46,128],"several":[48,76],"independent":[49],"crack":[50,105,139,150,163,174,207],"segments,":[51],"although":[52],"they":[53],"may":[54],"belong":[55],"same":[58],"defect.":[61],"This":[62,78],"is":[63],"observed":[65],"cracks":[67,86,97,185],"that":[68],"exhibit":[69],"longer":[71],"linear":[72],"development":[73],"or":[74,140,189],"present":[75],"branches.":[77],"paper":[79,153],"presents":[80],"new":[82],"strategy":[83],"on":[87],"images":[88,195],"captured":[89],"during":[90],"surveys,":[93],"even":[94],"when":[95],"those":[96],"appear":[98],"with":[99,165,194],"complex":[101],"shape.":[102,151],"The":[103,152],"proposed":[104,160],"algorithm":[107],"includes":[108],"two":[109,161],"stages:":[110],"(i)":[111],"selection":[112],"prominent":[114],"\"crack":[115],"seeds\",":[116],"adopting":[117],"an":[118],"efficient":[119],"procedure,":[121],"after":[122],"appropriate":[123],"image":[124],"smoothing,":[125],"minimizing":[126],"false":[130],"positives;":[131],"(ii)":[132],"iterative":[133],"binary":[134],"pixel":[135],"classification,":[136],"into":[137],"non-crack":[141],"classes,":[142],"extending":[143],"\"seeds\"":[145],"complete":[149],"also":[154],"tests":[155],"combination":[157],"stage":[162],"three":[166],"smoothing":[167],"techniques,":[168],"evaluate":[170],"their":[171],"suitability":[172],"detection.":[175],"As":[176],"final":[178],"step":[179],"system":[181],"classifies":[182],"identified":[184],"as":[186],"longitudinal,":[187],"transversal":[188],"miscellaneous":[190],"types.":[191],"Tests":[192],"performed":[193],"acquired":[196],"from":[197],"different":[198],"types":[199],"sensors":[201],"(active":[202],"and":[203],"non-active),":[204],"show":[205],"improved":[206],"results.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
