{"id":"https://openalex.org/W4313127442","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991772","title":"Improving color homogeneity measure in superpixel segmentation assessment","display_name":"Improving color homogeneity measure in superpixel segmentation assessment","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4313127442","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991772"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi55357.2022.9991772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5091477925","display_name":"Isabela B. Barcelos","orcid":null},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Isabela B. Barcelos","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais,Belo Horizonte,Brazil","Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais,Belo Horizonte,Brazil","institution_ids":["https://openalex.org/I170935008"]},{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090608776","display_name":"Felipe De C. Belem","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe De C. Belem","raw_affiliation_strings":["University of Campinas,Campinas,Brazil","University of Campinas, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas,Campinas,Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090162115","display_name":"Leonardo Jo\u00e3o","orcid":"https://orcid.org/0000-0003-4625-7840"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo De M. Joao","raw_affiliation_strings":["University of Campinas,Campinas,Brazil","University of Campinas, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas,Campinas,Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015267493","display_name":"Alexandre X. Falc\u00e3o","orcid":"https://orcid.org/0000-0002-2914-5380"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre X. Falcao","raw_affiliation_strings":["University of Campinas,Campinas,Brazil","University of Campinas, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas,Campinas,Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082458745","display_name":"Guimaraes Silvio J. F.","orcid":null},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guimaraes Silvio J. F.","raw_affiliation_strings":["Pontifical Catholic University of Minas Gerais,Belo Horizonte,Brazil","Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais,Belo Horizonte,Brazil","institution_ids":["https://openalex.org/I170935008"]},{"raw_affiliation_string":"Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I170935008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091477925"],"corresponding_institution_ids":["https://openalex.org/I170935008"],"apc_list":null,"apc_paid":null,"fwci":0.6037,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6805069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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":0.9969000220298767,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.812509298324585},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.8046010732650757},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6352053880691528},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6186710596084595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5801989436149597},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5717257261276245},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5301207900047302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5161860585212708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48886793851852417},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.45175305008888245},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43803125619888306},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.42451590299606323},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24601536989212036},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1777140200138092},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10875001549720764}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.812509298324585},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.8046010732650757},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6352053880691528},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6186710596084595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5801989436149597},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5717257261276245},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5301207900047302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5161860585212708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48886793851852417},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.45175305008888245},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43803125619888306},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.42451590299606323},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24601536989212036},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1777140200138092},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10875001549720764}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi55357.2022.9991772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1926565224","https://openalex.org/W2118246710","https://openalex.org/W2119823327","https://openalex.org/W2293105860","https://openalex.org/W2294182682","https://openalex.org/W2572788778","https://openalex.org/W2585293115","https://openalex.org/W2621906522","https://openalex.org/W2792516546","https://openalex.org/W2979897847","https://openalex.org/W3001401628","https://openalex.org/W3011871031","https://openalex.org/W3041297595","https://openalex.org/W3099715001","https://openalex.org/W3100958491","https://openalex.org/W3148873952","https://openalex.org/W3162356934","https://openalex.org/W4212803998"],"related_works":["https://openalex.org/W2076371382","https://openalex.org/W2777746912","https://openalex.org/W2094498611","https://openalex.org/W2380389211","https://openalex.org/W1981206111","https://openalex.org/W2506100540","https://openalex.org/W2216907995","https://openalex.org/W173496547","https://openalex.org/W2355217042","https://openalex.org/W2380673039"],"abstract_inverted_index":{"The":[0,171],"quality":[1],"of":[2,76],"a":[3,55,73,142],"superpixel":[4,56,65,135],"segmentation":[5,136,159],"may":[6],"consider":[7],"accuracy":[8],"in":[9,81,98,126],"delineation,":[10],"shape":[11],"compactness,":[12],"and":[13,23,94,100,112],"color":[14,35,40,57,61,93,97,102,121,125,163,182],"homogeneity.":[15,36],"Among":[16],"several":[17],"existing":[18],"measures,":[19],"Explained":[20],"Variation":[21,25],"(EV)":[22],"Intra-cluster":[24],"(IV)":[26],"seem":[27],"to":[28,59,145,162,180,185],"be":[29],"the":[30,77,101,146],"only":[31],"ones":[32],"focusing":[33],"on":[34,89,150],"However,":[37],"EV":[38,166],"ignores":[39],"differences":[41,90,103],"inside":[42,104],"superpixels":[43],"while":[44],"IV":[45],"reduces":[46],"penalization":[47],"by":[48,122],"averaging":[49],"those":[50],"differences.":[51],"This":[52],"work":[53],"proposes":[54],"descriptor":[58],"measure":[60],"homogeneity":[62,85,164],"when":[63],"comparing":[64],"algorithms.":[66],"Our":[67],"RGB-cube":[68],"Bucket":[69],"Descriptor":[70],"(RBD)":[71],"is":[72,86,177],"compact":[74],"representation":[75],"most":[78,168],"relevant":[79],"colors":[80],"each":[82,119],"superpixel.":[83],"Color":[84],"measured":[87],"based":[88],"between":[91,110],"pixel":[92,120],"its":[95,123],"closest":[96,124],"RBD":[99],"RBD.":[105],"We":[106],"call":[107],"it":[108],"Similarity":[109],"Image":[111],"Reconstruction":[113],"from":[114],"Superpixels":[115],"(SIRS)":[116],"since,":[117],"substituting":[118],"RBD,":[127],"one":[128],"obtains":[129],"an":[130],"image":[131],"reconstruction.":[132],"A":[133],"high-quality":[134],"(c)":[137],"(d)":[138],"should":[139],"then":[140],"present":[141],"reconstruction":[143],"similar":[144],"original":[147],"image.":[148],"Experiments":[149],"three":[151],"datasets":[152],"show":[153,174],"that":[154,175],"SIRS":[155,176],"can":[156],"better":[157],"distinguish":[158],"algorithms":[160],"according":[161],"than":[165,187],"(the":[167],"popular":[169],"measure).":[170],"results":[172],"also":[173],"more":[178],"robust":[179],"slight":[181],"variations":[183],"due":[184],"luminosity":[186],"EV.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-28T02:08:47.144824","created_date":"2025-10-10T00:00:00"}
