{"id":"https://openalex.org/W2051198820","doi":"https://doi.org/10.1145/2448556.2448635","title":"Unsupervised color images segmentation using spatial hidden MRF GDPM model","display_name":"Unsupervised color images segmentation using spatial hidden MRF GDPM model","publication_year":2013,"publication_date":"2013-01-17","ids":{"openalex":"https://openalex.org/W2051198820","doi":"https://doi.org/10.1145/2448556.2448635","mag":"2051198820"},"language":"en","primary_location":{"id":"doi:10.1145/2448556.2448635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2448556.2448635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication","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/A5016894750","display_name":"In Seop Na","orcid":"https://orcid.org/0000-0001-6471-043X"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In Seop Na","raw_affiliation_strings":["Chonnam National University, Yongbong-ro, South Korea","Chonnam National University, Yongbong-ro, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea#TAB#","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031413454","display_name":"Wan Hyun Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wan Hyun Cho","raw_affiliation_strings":["Chonnam National University, Yongbong-ro South Korea","Chonnam National University, Yongbong-ro, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonnam National University, Yongbong-ro South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea#TAB#","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605822","display_name":"Soo-Hyung Kim","orcid":"https://orcid.org/0000-0003-3575-5035"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo Hyung Kim","raw_affiliation_strings":["Chonnam National University, Yongbong-ro, South Korea","Chonnam National University, Yongbong-ro, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea#TAB#","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075739448","display_name":"Soon Ja Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soon Ja Kang","raw_affiliation_strings":["Chonnam National University, Yongbong-ro, South Korea","Chonnam National University, Yongbong-ro, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea#TAB#","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048804620","display_name":"Trung Nguyen","orcid":"https://orcid.org/0000-0002-0066-5972"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Trung Quy Nguyen","raw_affiliation_strings":["Chonnam National University, Yongbong-ro, South Korea","Chonnam National University, Yongbong-ro, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea#TAB#","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089009004","display_name":"Jun Yong Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Yong Choi","raw_affiliation_strings":["Chonnam National University, Yongbong-ro, South Korea","Chonnam National University, Yongbong-ro, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea","institution_ids":["https://openalex.org/I111277659"]},{"raw_affiliation_string":"Chonnam National University, Yongbong-ro, South Korea#TAB#","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13415691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9627000093460083,"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/T10885","display_name":"Gene expression and cancer classification","score":0.911899983882904,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7428590059280396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6436657905578613},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6015720367431641},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.573980450630188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5708138346672058},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5500428676605225},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.522211492061615},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5079134106636047},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4134070873260498},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38041722774505615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3314252495765686},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3079712986946106}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7428590059280396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6436657905578613},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6015720367431641},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.573980450630188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5708138346672058},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5500428676605225},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.522211492061615},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5079134106636047},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4134070873260498},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38041722774505615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3314252495765686},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3079712986946106},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2448556.2448635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2448556.2448635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1252806399","https://openalex.org/W1550192491","https://openalex.org/W1967687583","https://openalex.org/W1988764623","https://openalex.org/W2069429561","https://openalex.org/W2077747248","https://openalex.org/W2089484716","https://openalex.org/W2100470273","https://openalex.org/W2110217821","https://openalex.org/W2113662295","https://openalex.org/W2127498532","https://openalex.org/W2132106992","https://openalex.org/W2151967501","https://openalex.org/W2158266063","https://openalex.org/W2159999160","https://openalex.org/W2165814974","https://openalex.org/W2335943235","https://openalex.org/W2521002555","https://openalex.org/W2599140595","https://openalex.org/W6682569104","https://openalex.org/W7046024971"],"related_works":["https://openalex.org/W4233585817","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W4233015508","https://openalex.org/W987019958","https://openalex.org/W2188882668","https://openalex.org/W2030382593","https://openalex.org/W2004379491","https://openalex.org/W1983122994","https://openalex.org/W2088323302"],"abstract_inverted_index":{"Model":[0],"based":[1],"methods":[2],"of":[3,19,26,74,91,115,147,187],"segmentation":[4,45],"have":[5,122],"largely":[6],"provided":[7],"a":[8,41,48,109,145],"convenient":[9],"format":[10],"framework":[11],"for":[12,118],"segmenting":[13],"observed":[14,92],"color":[15,64,96,149,170],"images.":[16,65],"But":[17],"most":[18],"these":[20],"models":[21],"assume":[22],"that":[23,160],"the":[24,72,82,87,101,135,174,177,184],"number":[25,114],"components":[27],"in":[28,33,95,169,176],"mixture":[29],"model":[30,59,81,106,142],"is":[31,180,190],"known":[32],"advance.":[34],"To":[35],"resolve":[36],"this":[37,141],"issue,":[38],"we":[39,139],"proposed":[40,136],"novel":[42],"variational":[43,130],"Bayesian":[44,131],"method":[46,189],"using":[47],"Spatial":[49,75],"Hidden":[50,76],"Markov":[51,77],"Random":[52,78],"Field":[53,79],"Gaussian":[54,102],"Dirichlet":[55,103],"Process":[56,104],"Mixture":[57,105],"(Spatial-HMRF-GDPM)":[58],"to":[60,80,107,126,133,143,164],"segment":[61,144],"automatically":[62],"given":[63],"In":[66],"particular,":[67],"our":[68,161,188],"algorithm":[69,132,162],"has":[70,99],"used":[71,100],"concept":[73],"spatial":[83],"correlation":[84],"structure":[85],"between":[86],"latent":[88],"labeling":[89],"variables":[90],"data":[93],"points":[94],"space,":[97],"and":[98,172],"represent":[108],"likelihood":[110],"function":[111],"with":[112],"infinite":[113],"class":[116],"memberships":[117],"each":[119,167],"observation.":[120],"We":[121],"also":[123,173],"described":[124],"how":[125],"use":[127],"an":[128],"efficient":[129],"inference":[134],"model.":[137],"Finally,":[138],"apply":[140],"series":[146],"various":[148],"images,":[150,171],"demonstrating":[151],"its":[152],"advantages":[153],"over":[154],"existing":[155],"methodologies.":[156],"Experimental":[157],"results":[158],"show":[159],"manage":[163],"discriminate":[165],"exactly":[166],"objects":[168],"noise":[175],"segmented":[178],"image":[179],"significantly":[181],"reduced.":[182],"Moreover,":[183],"convergence":[185],"speed":[186],"very":[191],"faster":[192],"than":[193],"other":[194],"methods.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
