{"id":"https://openalex.org/W4206104459","doi":"https://doi.org/10.1145/3501409.3501495","title":"Images thresholding via within-cluster weighting variance","display_name":"Images thresholding via within-cluster weighting variance","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4206104459","doi":"https://doi.org/10.1145/3501409.3501495"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501495","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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/A5101516080","display_name":"Shuhong Yang","orcid":"https://orcid.org/0000-0001-8013-1673"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuhong Yang","raw_affiliation_strings":["School of Electrical, Electronic and Computer Science, Guangxi University of Science and Technology, Liuzhou, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Computer Science, Guangxi University of Science and Technology, Liuzhou, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602481","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-8838-4963"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["School of Electrical, Electronic and Computer Science, Guangxi University of Science and Technology, Liuzhou, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Computer Science, Guangxi University of Science and Technology, Liuzhou, Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101516080"],"corresponding_institution_ids":["https://openalex.org/I18570673"],"apc_list":null,"apc_paid":null,"fwci":0.0653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37269585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/weighting","display_name":"Weighting","score":0.8412762880325317},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.8370178937911987},{"id":"https://openalex.org/keywords/otsus-method","display_name":"Otsu's method","score":0.803432822227478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.699718713760376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471334099769592},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.610984206199646},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.5464904308319092},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.545793354511261},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5360470414161682},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5321188569068909},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4796319603919983},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3663634657859802},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3285279870033264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27673959732055664},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.2624157965183258}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8412762880325317},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8370178937911987},{"id":"https://openalex.org/C21729346","wikidata":"https://www.wikidata.org/wiki/Q2444417","display_name":"Otsu's method","level":4,"score":0.803432822227478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.699718713760376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471334099769592},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.610984206199646},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.5464904308319092},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.545793354511261},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5360470414161682},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5321188569068909},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4796319603919983},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3663634657859802},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3285279870033264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27673959732055664},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2624157965183258},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501495","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1614535104","https://openalex.org/W1970800786","https://openalex.org/W1982091032","https://openalex.org/W2016821908","https://openalex.org/W2030873530","https://openalex.org/W2036053583","https://openalex.org/W2037369677","https://openalex.org/W2040079850","https://openalex.org/W2054831422","https://openalex.org/W2099452537","https://openalex.org/W2133003941","https://openalex.org/W2133059825","https://openalex.org/W2372382290","https://openalex.org/W2377254088","https://openalex.org/W2380509258","https://openalex.org/W2552163569","https://openalex.org/W4254373586"],"related_works":["https://openalex.org/W4309330417","https://openalex.org/W2147223569","https://openalex.org/W2061057206","https://openalex.org/W2372150554","https://openalex.org/W2219579304","https://openalex.org/W2054831422","https://openalex.org/W2026153598","https://openalex.org/W2122667464","https://openalex.org/W2380810282","https://openalex.org/W2327601824"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,40,43,54,58,85],"the":[3,37,41,52,97,105],"most":[4,25],"popular":[5],"thresholding":[6,62],"methods,":[7],"Otsu":[8,44,59],"method":[9,63,99,107],"is":[10,46,70,100,108,116],"known":[11],"to":[12,78,80],"produce":[13],"biased":[14],"threshold":[15],"when":[16],"variances":[17],"among":[18],"data":[19],"classes":[20],"are":[21,76],"significantly":[22],"different,":[23],"yet":[24],"researches":[26],"point":[27],"out":[28],"this":[29,35],"deviation":[30,42],"mainly":[31],"by":[32],"experiments.":[33],"In":[34],"paper,":[36],"essential":[38],"cause":[39],"algorithm":[45],"investigated":[47],"theoretically,":[48],"then":[49],"starting":[50],"from":[51],"analysis":[53],"two":[55,74],"improved":[56],"versions":[57],"algorithms,":[60],"a":[61],"based":[64],"on":[65,89],"within":[66],"cluster":[67],"weighting":[68],"variance":[69],"proposed,":[71],"in":[72,118],"which":[73,115],"parameters":[75],"optimized":[77],"adapt":[79],"images":[81,94,114],"with":[82],"all":[83],"kind":[84],"distribution.":[86],"Experimental":[87],"results":[88],"both":[90],"synthetic":[91],"and":[92,102],"real":[93,119],"demonstrated":[95],"that":[96],"proposed":[98,106],"effective":[101],"robust.":[103],"Furthermore,":[104],"especially":[109],"suitable":[110],"for":[111],"segmenting":[112],"serialized":[113],"common":[117],"application.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}