{"id":"https://openalex.org/W2998785703","doi":"https://doi.org/10.1145/3369318.3369333","title":"Surface Rust Segmentation Based on Neighborhood Maximum Threshold","display_name":"Surface Rust Segmentation Based on Neighborhood Maximum Threshold","publication_year":2019,"publication_date":"2019-10-29","ids":{"openalex":"https://openalex.org/W2998785703","doi":"https://doi.org/10.1145/3369318.3369333","mag":"2998785703"},"language":"en","primary_location":{"id":"doi:10.1145/3369318.3369333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369318.3369333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100348617","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-6294-6761"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101068605","display_name":"Xiaotao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Xiaotao","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031457689","display_name":"Liping Hou","orcid":"https://orcid.org/0000-0002-4984-3290"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hou Liping","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118900014","display_name":"Xu Yang","orcid":"https://orcid.org/0009-0004-5180-8648"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Song Yuantao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Yuantao","raw_affiliation_strings":["School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Science, University of Chinese Academy of Sciences, Beijing, CHN","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100762052","display_name":"Lili Zhang","orcid":"https://orcid.org/0000-0002-1980-1858"},"institutions":[{"id":"https://openalex.org/I4210120847","display_name":"Beijing Institute of Water","ror":"https://ror.org/02y8m9y76","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120847"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Lili","raw_affiliation_strings":["Beijing Institute of Water, Science and Technology, Beijing, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Water, Science and Technology, Beijing, CHN","institution_ids":["https://openalex.org/I4210120847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4083,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59172088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"31","issue":null,"first_page":"80","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.995199978351593,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T14156","display_name":"Engineering Applied Research","score":0.953000009059906,"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/segmentation","display_name":"Segmentation","score":0.5644565224647522},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5434659719467163},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5314024686813354},{"id":"https://openalex.org/keywords/rust","display_name":"Rust (programming language)","score":0.4602465033531189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45824477076530457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44393351674079895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3476203680038452},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34095263481140137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24266400933265686},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10966923832893372}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5644565224647522},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5434659719467163},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5314024686813354},{"id":"https://openalex.org/C197781089","wikidata":"https://www.wikidata.org/wiki/Q575650","display_name":"Rust (programming language)","level":2,"score":0.4602465033531189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45824477076530457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44393351674079895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3476203680038452},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34095263481140137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24266400933265686},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10966923832893372},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369318.3369333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369318.3369333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1966411054","https://openalex.org/W1984153831","https://openalex.org/W2004762748","https://openalex.org/W2046464073","https://openalex.org/W2083970667","https://openalex.org/W2126924105","https://openalex.org/W2133059825","https://openalex.org/W6641829834"],"related_works":["https://openalex.org/W2321095224","https://openalex.org/W2368593304","https://openalex.org/W2508646920","https://openalex.org/W2004186295","https://openalex.org/W2014489614","https://openalex.org/W2037562491","https://openalex.org/W4296563699","https://openalex.org/W1411230624","https://openalex.org/W4238766978","https://openalex.org/W1522196789"],"abstract_inverted_index":{"As":[0],"a":[1,37,94],"kind":[2],"of":[3,8,15,99,115],"defect":[4],"on":[5,40],"the":[6,13,29,68,74,90,103,106,112,116,120,125,130],"surface":[7],"metal,":[9],"rust":[10,23,34,54,84],"greatly":[11],"affects":[12],"quality":[14],"workpiece.":[16],"However,":[17],"it's":[18],"usually":[19],"difficult":[20,65],"to":[21,66,110,124],"segment":[22],"with":[24,59],"small":[25,33],"area.":[26],"Aiming":[27],"at":[28,53],"segmentation":[30,55],"threshold":[31,43,70,122],"in":[32,71,77,93,102,133],"area":[35,98],"detection,":[36],"method":[38,87,109],"based":[39],"neighborhood":[41],"maximum":[42,91,117],"is":[44,64,81,135],"proposed,":[45],"named":[46],"NMT":[47],"(Neighborhood":[48],"Maximum":[49],"Thresholding),":[50],"which":[51],"aimed":[52],"problem":[56],"for":[57,83],"workpiece":[58],"low":[60],"saturation.":[61],"Because":[62],"it":[63],"select":[67],"appropriate":[69],"RGB":[72],"space,":[73],"S":[75],"channel":[76],"HSV":[78],"color":[79],"space":[80],"selected":[82],"segmentation.":[85],"The":[86],"includes":[88],"calculating":[89],"saturation":[92],"certain":[95],"block":[96],"size":[97],"each":[100],"pixel":[101],"image,":[104],"using":[105],"least":[107],"square":[108],"simulate":[111],"distribution":[113],"function":[114,126],"value,":[118],"getting":[119],"background":[121],"according":[123],"distribution.":[127],"Experiments":[128],"show":[129],"final":[131],"accuracy":[132],"dataset":[134],"96.29%.":[136]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
