{"id":"https://openalex.org/W2405589048","doi":"https://doi.org/10.1109/wacv.2016.7477601","title":"Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches","display_name":"Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2405589048","doi":"https://doi.org/10.1109/wacv.2016.7477601","mag":"2405589048"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5025294677","display_name":"Stephen J. Schmugge","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stephen J. Schmugge","raw_affiliation_strings":["Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047349076","display_name":"Lance Rice","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lance Rice","raw_affiliation_strings":["Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056792531","display_name":"N. Rich Nguyen","orcid":"https://orcid.org/0000-0002-4910-8069"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Rich Nguyen","raw_affiliation_strings":["Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012853654","display_name":"John A. Lindberg","orcid":null},"institutions":[{"id":"https://openalex.org/I1335486098","display_name":"Electric Power Research Institute","ror":"https://ror.org/02dqztz06","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1335486098"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Lindberg","raw_affiliation_strings":["Electric Power Research Institute, Charlotte, NC"],"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, Charlotte, NC","institution_ids":["https://openalex.org/I1335486098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012863452","display_name":"Robert Grizzi","orcid":null},"institutions":[{"id":"https://openalex.org/I1335486098","display_name":"Electric Power Research Institute","ror":"https://ror.org/02dqztz06","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1335486098"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Grizzi","raw_affiliation_strings":["Electric Power Research Institute, Charlotte, NC"],"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, Charlotte, NC","institution_ids":["https://openalex.org/I1335486098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057306363","display_name":"Chris Joffe","orcid":null},"institutions":[{"id":"https://openalex.org/I1335486098","display_name":"Electric Power Research Institute","ror":"https://ror.org/02dqztz06","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1335486098"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Joffe","raw_affiliation_strings":["Electric Power Research Institute, Charlotte, NC"],"affiliations":[{"raw_affiliation_string":"Electric Power Research Institute, Charlotte, NC","institution_ids":["https://openalex.org/I1335486098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037102683","display_name":"Min Chul Shin","orcid":"https://orcid.org/0000-0002-3296-2357"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min C. Shin","raw_affiliation_strings":["Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Univ. of North Carolina at Charlotte, Charlotte, NC","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5025294677"],"corresponding_institution_ids":["https://openalex.org/I102149020"],"apc_list":null,"apc_paid":null,"fwci":7.6729,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97036874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9869999885559082,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6915880441665649},{"id":"https://openalex.org/keywords/grind","display_name":"Grind","score":0.6608710289001465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6292220950126648},{"id":"https://openalex.org/keywords/nuclear-power-plant","display_name":"Nuclear power plant","score":0.583293080329895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5743036270141602},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.563065230846405},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.481412410736084},{"id":"https://openalex.org/keywords/welding","display_name":"Welding","score":0.4629240036010742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46146777272224426},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.453460156917572},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1703774631023407}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6915880441665649},{"id":"https://openalex.org/C2779201687","wikidata":"https://www.wikidata.org/wiki/Q638274","display_name":"Grind","level":3,"score":0.6608710289001465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292220950126648},{"id":"https://openalex.org/C2779979336","wikidata":"https://www.wikidata.org/wiki/Q134447","display_name":"Nuclear power plant","level":2,"score":0.583293080329895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5743036270141602},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.563065230846405},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.481412410736084},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.4629240036010742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46146777272224426},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.453460156917572},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1703774631023407},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2777571299","wikidata":"https://www.wikidata.org/wiki/Q3680646","display_name":"Grinding","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2016.7477601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1544877491","https://openalex.org/W1551570072","https://openalex.org/W1963707537","https://openalex.org/W1969305618","https://openalex.org/W1974605586","https://openalex.org/W2000018820","https://openalex.org/W2006711847","https://openalex.org/W2022909534","https://openalex.org/W2074925468","https://openalex.org/W2079448160","https://openalex.org/W2097117768","https://openalex.org/W2128880484","https://openalex.org/W2144494816","https://openalex.org/W2144801789","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2325975990","https://openalex.org/W6674914833","https://openalex.org/W6684191040","https://openalex.org/W6701004138"],"related_works":["https://openalex.org/W2369327631","https://openalex.org/W1562883799","https://openalex.org/W3017279000","https://openalex.org/W2359405236","https://openalex.org/W2378105892","https://openalex.org/W2381410113","https://openalex.org/W1970628548","https://openalex.org/W1886379572","https://openalex.org/W2348210330","https://openalex.org/W2348619999"],"abstract_inverted_index":{"Robust":[0],"inspection":[1,52,96],"is":[2],"important":[3],"to":[4,101],"ensure":[5],"the":[6,79],"safety":[7],"of":[8,87,91,95],"nuclear":[9,49],"power":[10,50],"plant":[11,51],"components.":[12],"An":[13],"automated":[14],"approach":[15],"would":[16],"require":[17],"detecting":[18,62],"often":[19],"low":[20],"contrast":[21],"cracks":[22,66],"that":[23],"could":[24],"be":[25],"surrounded":[26],"by":[27,54],"or":[28],"even":[29],"within":[30],"textures":[31],"with":[32],"similar":[33],"appearances":[34],"such":[35],"as":[36],"welding,":[37],"scratches":[38],"and":[39,98],"grind":[40],"marks.":[41],"We":[42,77],"propose":[43],"a":[44,57,83],"crack":[45],"detection":[46],"method":[47,81],"for":[48,61,74],"videos":[53,89],"fine":[55],"tuning":[56],"deep":[58],"neural":[59],"network":[60],"local":[63],"patches":[64],"containing":[65],"which":[67],"are":[68],"then":[69],"grouped":[70],"in":[71],"spatial-temporal":[72],"space":[73],"group-level":[75],"classification.":[76],"evaluate":[78],"proposed":[80],"on":[82],"data":[84],"set":[85],"consisting":[86,90],"17":[88],"nearly":[92],"150,000":[93],"frames":[94],"video":[97],"provide":[99],"comparison":[100],"prior":[102],"methods.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
