{"id":"https://openalex.org/W2147248031","doi":"https://doi.org/10.1109/cvpr.2009.5206552","title":"Global active contour-based image segmentation via probability alignment","display_name":"Global active contour-based image segmentation via probability alignment","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2147248031","doi":"https://doi.org/10.1109/cvpr.2009.5206552","mag":"2147248031"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206552","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5002997328","display_name":"Andriy Myronenko","orcid":"https://orcid.org/0000-0001-8713-7031"},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andriy Myronenko","raw_affiliation_strings":["Department of Science and Engineering, School of Medicine, Oregon Health and Sciences University, Beaverton, OR, USA","Dept. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA"],"affiliations":[{"raw_affiliation_string":"Department of Science and Engineering, School of Medicine, Oregon Health and Sciences University, Beaverton, OR, USA","institution_ids":["https://openalex.org/I165690674"]},{"raw_affiliation_string":"Dept. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA","institution_ids":["https://openalex.org/I165690674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103332939","display_name":"Xubo Song","orcid":null},"institutions":[{"id":"https://openalex.org/I165690674","display_name":"Oregon Health & Science University","ror":"https://ror.org/009avj582","country_code":"US","type":"education","lineage":["https://openalex.org/I165690674"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xubo Song","raw_affiliation_strings":["Department of Science and Engineering, School of Medicine, Oregon Health and Sciences University, Beaverton, OR, USA","Dept. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA"],"affiliations":[{"raw_affiliation_string":"Department of Science and Engineering, School of Medicine, Oregon Health and Sciences University, Beaverton, OR, USA","institution_ids":["https://openalex.org/I165690674"]},{"raw_affiliation_string":"Dept. of Sci. & Eng., Oregon Health & Sci. Univ., Beaverton, OR, USA","institution_ids":["https://openalex.org/I165690674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002997328"],"corresponding_institution_ids":["https://openalex.org/I165690674"],"apc_list":null,"apc_paid":null,"fwci":0.8647,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.78631453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2798","last_page":"2804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9923999905586243,"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/active-contour-model","display_name":"Active contour model","score":0.8727457523345947},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8175878524780273},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6713718771934509},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6493810415267944},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5904157757759094},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5419240593910217},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.527991771697998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5043565034866333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48133453726768494},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.47731813788414},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4394858777523041},{"id":"https://openalex.org/keywords/energy-functional","display_name":"Energy functional","score":0.43245986104011536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4205071032047272},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3864271640777588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3843018114566803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3337998390197754},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13092416524887085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07417264580726624}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.8727457523345947},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8175878524780273},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6713718771934509},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6493810415267944},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5904157757759094},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5419240593910217},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.527991771697998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5043565034866333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48133453726768494},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.47731813788414},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4394858777523041},{"id":"https://openalex.org/C191640071","wikidata":"https://www.wikidata.org/wiki/Q5377056","display_name":"Energy functional","level":2,"score":0.43245986104011536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4205071032047272},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3864271640777588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3843018114566803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3337998390197754},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13092416524887085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07417264580726624},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2009.5206552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206552","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1525018193","https://openalex.org/W1530235965","https://openalex.org/W1578982614","https://openalex.org/W1808344143","https://openalex.org/W2043075535","https://openalex.org/W2069385985","https://openalex.org/W2084151718","https://openalex.org/W2104095591","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2128547631","https://openalex.org/W2129948433","https://openalex.org/W2138180828","https://openalex.org/W2140139548","https://openalex.org/W2145803225","https://openalex.org/W2159152281","https://openalex.org/W2160431995","https://openalex.org/W2167338900","https://openalex.org/W3029645440","https://openalex.org/W4255333169","https://openalex.org/W4293775970","https://openalex.org/W6631886430","https://openalex.org/W6634526070","https://openalex.org/W6679245849"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2133896549","https://openalex.org/W1631910785","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2008268297","https://openalex.org/W2117664411","https://openalex.org/W4254834852","https://openalex.org/W2147248031"],"abstract_inverted_index":{"Active":[0],"contours":[1],"is":[2],"a":[3,27,33,55,121,151],"popular":[4],"technique":[5],"for":[6],"image":[7,90],"segmentation.":[8],"However,":[9],"active":[10,52,102,155],"contour":[11,53,103],"tend":[12],"to":[13,15,66,87,104,119,134,141],"converge":[14],"the":[16,38,45,51,59,68,75,81,93,101,107,115,126,129,136,142],"closest":[17],"local":[18],"minimum":[19],"of":[20,58,117,131,154],"its":[21],"energy":[22,47,145],"function":[23,62,78,139],"and":[24,74,92],"often":[25],"requires":[26],"close":[28,39],"boundary":[29,40],"initialization.":[30],"We":[31,49],"introduce":[32],"new":[34],"approach":[35],"that":[36],"overcomes":[37],"initialization":[41,165],"problem":[42],"by":[43],"reformulating":[44],"external":[46,144],"term.":[48],"treat":[50],"as":[54],"mean":[56],"curve":[57],"probability":[60,76],"density":[61,77],"p(x).":[63],"It":[64],"moves":[65],"minimize":[67],"Kullback-Leibler":[69],"(KL)":[70],"divergence":[71,84,138],"between":[72],"p(x)":[73,86,118,132],"derived":[79],"from":[80,163],"image.":[82],"KL":[83,137],"forces":[85],"\u201ccover":[88],"all":[89],"areas\u201d":[91],"uncovered":[94],"areas":[95],"are":[96],"heavily":[97],"penalized,":[98],"which":[99],"allows":[100],"go":[105],"over":[106],"edges.":[108],"Also":[109],"we":[110],"use":[111],"deterministic":[112],"annealing":[113],"on":[114],"width":[116,130],"implement":[120],"coarse-to-fine":[122],"search":[123],"strategy.":[124],"In":[125],"limit,":[127],"when":[128],"goes":[133],"zero,":[135],"converges":[140],"conventional":[143],"term":[146],"(which":[147],"can":[148],"be":[149],"seen":[150],"special":[152],"case)":[153],"contours.":[156],"Our":[157],"method":[158],"produces":[159],"robust":[160],"segmentation":[161],"results":[162],"arbitrary":[164],"positions.":[166]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
