{"id":"https://openalex.org/W1992462714","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000257","title":"Robust Automated Concrete Damage Detection Algorithms for Field Applications","display_name":"Robust Automated Concrete Damage Detection Algorithms for Field Applications","publication_year":2012,"publication_date":"2012-09-17","ids":{"openalex":"https://openalex.org/W1992462714","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000257","mag":"1992462714"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000257","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000257","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","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/A5084847417","display_name":"David Lattanzi","orcid":"https://orcid.org/0000-0001-9247-0680"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210138199","display_name":"University of Washington Applied Physics Laboratory","ror":"https://ror.org/03d17d270","country_code":"US","type":"facility","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David Lattanzi","raw_affiliation_strings":["Graduate Researcher, Dept. of Civil and Environmental Engineering, Univ. of Washington, Box 352700, Seattle, WA 98195-2700"],"affiliations":[{"raw_affiliation_string":"Graduate Researcher, Dept. of Civil and Environmental Engineering, Univ. of Washington, Box 352700, Seattle, WA 98195-2700","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210138199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003008169","display_name":"Gregory R. Miller","orcid":"https://orcid.org/0000-0002-8741-0357"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory R. Miller","raw_affiliation_strings":["Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Box 352700, Seattle, WA 98195-2700 (corresponding author)"],"affiliations":[{"raw_affiliation_string":"Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Box 352700, Seattle, WA 98195-2700 (corresponding author)","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084847417"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210138199"],"apc_list":null,"apc_paid":null,"fwci":2.8051,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.89235946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"2","first_page":"253","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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/T11220","display_name":"Water Systems and Optimization","score":0.9728999733924866,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/robustness","display_name":"Robustness (evolution)","score":0.712842583656311},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6346718072891235},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6065874099731445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.567496120929718},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5213838219642639},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49120089411735535},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47540411353111267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4710412323474884},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3693130910396576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33542758226394653}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.712842583656311},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6346718072891235},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6065874099731445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.567496120929718},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5213838219642639},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49120089411735535},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47540411353111267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4710412323474884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3693130910396576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33542758226394653},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000257","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000257","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W583945795","https://openalex.org/W1517993545","https://openalex.org/W1533162639","https://openalex.org/W1554663460","https://openalex.org/W1570448133","https://openalex.org/W1680392829","https://openalex.org/W1963667915","https://openalex.org/W1964573040","https://openalex.org/W1977556410","https://openalex.org/W1980317569","https://openalex.org/W2000779269","https://openalex.org/W2005029343","https://openalex.org/W2022844898","https://openalex.org/W2033318022","https://openalex.org/W2034539098","https://openalex.org/W2040884411","https://openalex.org/W2049343907","https://openalex.org/W2071905184","https://openalex.org/W2072883612","https://openalex.org/W2091149439","https://openalex.org/W2093653159","https://openalex.org/W2097221445","https://openalex.org/W2112076978","https://openalex.org/W2117552096","https://openalex.org/W2121947440","https://openalex.org/W2132166479","https://openalex.org/W2133990480","https://openalex.org/W2134275275","https://openalex.org/W2145023731","https://openalex.org/W2147169507","https://openalex.org/W2149706766","https://openalex.org/W2156909104","https://openalex.org/W2170112109","https://openalex.org/W2170913656","https://openalex.org/W2799061466","https://openalex.org/W3131484985","https://openalex.org/W4230674625","https://openalex.org/W4236137412","https://openalex.org/W4239875977","https://openalex.org/W4244238212","https://openalex.org/W4247086295","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,29,58,98],"computer":[4],"vision":[5],"framework":[6],"supporting":[7],"automated":[8],"infrastructure":[9],"damage":[10],"detection,":[11],"with":[12,40,77],"specific":[14],"focus":[15],"on":[16],"surface":[17,102],"crack":[18],"detection":[19,116,119],"in":[20,32,52,94,115],"concrete.":[21],"The":[22,87],"approach":[23,88],"presented":[24],"is":[25,63,89],"designed":[26],"to":[27,35,49,72,81,91,111],"provide":[28],"significant":[30,113],"increase":[31],"robustness":[33],"relative":[34],"existing":[36,109],"methods":[37],"when":[38],"faced":[39],"widely":[41],"varying":[42],"field":[43],"conditions":[44],"while":[45],"operating":[46],"fast":[47],"enough":[48],"be":[50],"used":[51],"large":[53],"scale":[54],"applications.":[55],"In":[56],"particular,":[57],"clustering":[59],"method":[60],"for":[61],"segmentation":[62],"developed":[64],"that":[65],"exploits":[66],"inherent":[67],"characteristics":[68],"of":[69,101],"fracture":[70],"images":[71],"achieve":[73],"consistent":[74],"performance,":[75],"combined":[76],"robust":[78],"feature":[79],"extraction":[80],"improve":[82],"recognition":[83],"algorithm":[84],"classifier":[85],"outcomes.":[86],"shown":[90],"perform":[92],"well":[93],"detecting":[95],"cracks":[96],"across":[97],"broad":[99],"range":[100],"and":[103],"lighting":[104],"conditions,":[105],"which":[106],"can":[107],"cause":[108],"techniques":[110],"exhibit":[112],"reductions":[114],"accuracy":[117],"and/or":[118],"speed.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
