{"id":"https://openalex.org/W2137955465","doi":"https://doi.org/10.1109/iccv.2007.4408959","title":"Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions","display_name":"Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2137955465","doi":"https://doi.org/10.1109/iccv.2007.4408959","mag":"2137955465"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4408959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00438812","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109834723","display_name":"Beno\u00eet Mory","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165709","display_name":"Philips (France)","ror":"https://ror.org/05jz46060","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210165709"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Benoit Mory","raw_affiliation_strings":["Philips Medical Systems Research, Suresnes, France","Philips Med. Syst. Res. Paris, Suresnes"],"affiliations":[{"raw_affiliation_string":"Philips Medical Systems Research, Suresnes, France","institution_ids":["https://openalex.org/I4210165709"]},{"raw_affiliation_string":"Philips Med. Syst. Res. Paris, Suresnes","institution_ids":["https://openalex.org/I4210165709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008836007","display_name":"Roberto Ardon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165709","display_name":"Philips (France)","ror":"https://ror.org/05jz46060","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210165709"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Roberto Ardon","raw_affiliation_strings":["Philips Medical Systems Research, Suresnes, France","Philips Med. Syst. Res. Paris, Suresnes"],"affiliations":[{"raw_affiliation_string":"Philips Medical Systems Research, Suresnes, France","institution_ids":["https://openalex.org/I4210165709"]},{"raw_affiliation_string":"Philips Med. Syst. Res. Paris, Suresnes","institution_ids":["https://openalex.org/I4210165709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067782007","display_name":"Jean\u2010Philippe Thiran","orcid":"https://orcid.org/0000-0003-2938-9657"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Thiran","raw_affiliation_strings":["Signal Processing Institute (ITS), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","Signal Processing Institute (ITS), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. jp.thiran@epfl.ch"],"affiliations":[{"raw_affiliation_string":"Signal Processing Institute (ITS), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Processing Institute (ITS), Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. jp.thiran@epfl.ch","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109834723"],"corresponding_institution_ids":["https://openalex.org/I4210165709"],"apc_list":null,"apc_paid":null,"fwci":5.5896,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.962157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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/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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9908999800682068,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9876000285148621,"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/parametric-statistics","display_name":"Parametric statistics","score":0.5954428911209106},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5922136306762695},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5794206261634827},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5766078233718872},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5280519127845764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5255410075187683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45982101559638977},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.45484647154808044},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4483460783958435},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44762110710144043},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.446653813123703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4461982250213623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4287831783294678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4191027283668518}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5954428911209106},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5922136306762695},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5794206261634827},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5766078233718872},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5280519127845764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5255410075187683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45982101559638977},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.45484647154808044},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4483460783958435},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44762110710144043},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.446653813123703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4461982250213623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4287831783294678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4191027283668518},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/iccv.2007.4408959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.170.5465","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.170.5465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/111835/files/MoryArdonThiran-ICCV07.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00438812v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00438812","pdf_url":null,"source":{"id":"https://openalex.org/S4406922276","display_name":"INRIA a CCSD electronic archive server","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007., Oct 2007, Rio de Janeiro, Brazil. pp.1-8, &#x27E8;10.1109/ICCV.2007.4408959&#x27E9;","raw_type":"Conference papers"},{"id":"pmh:oai:infoscience.epfl.ch:111835","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/111835","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:infoscience.tind.io:111835","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/12203","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00438812v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00438812","pdf_url":null,"source":{"id":"https://openalex.org/S4406922276","display_name":"INRIA a CCSD electronic archive server","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007., Oct 2007, Rio de Janeiro, Brazil. pp.1-8, &#x27E8;10.1109/ICCV.2007.4408959&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1485534091","https://openalex.org/W1523554224","https://openalex.org/W1547334019","https://openalex.org/W1605887385","https://openalex.org/W1833167738","https://openalex.org/W1910823972","https://openalex.org/W2005089986","https://openalex.org/W2008843614","https://openalex.org/W2009967126","https://openalex.org/W2038495454","https://openalex.org/W2056003166","https://openalex.org/W2098152234","https://openalex.org/W2116040950","https://openalex.org/W2118020555","https://openalex.org/W2121745238","https://openalex.org/W2121927366","https://openalex.org/W2144857435","https://openalex.org/W2155343350","https://openalex.org/W2159152281","https://openalex.org/W6660008007"],"related_works":["https://openalex.org/W2893341095","https://openalex.org/W4241043257","https://openalex.org/W1990418105","https://openalex.org/W2348053484","https://openalex.org/W1971430736","https://openalex.org/W2055869823","https://openalex.org/W4242391381","https://openalex.org/W1980528650","https://openalex.org/W4249885815","https://openalex.org/W3199393239"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,66,72,91],"novel":[3],"variational":[4],"segmentation":[5,42],"algorithm":[6],"designed":[7],"to":[8,24,65,79,85,114,118,125,146],"split":[9],"an":[10,87,130],"image":[11],"in":[12,102],"two":[13],"regions":[14,33],"based":[15],"on":[16,53,157,165],"their":[17],"intensity":[18],"distributions.":[19],"A":[20],"functional":[21],"is":[22,59,109],"proposed":[23],"integrate":[25],"the":[26,35,54,81,97,107,120,123,133],"unknown":[27],"probability":[28,140],"density":[29,45],"functions":[30],"of":[31,69,99,137],"both":[32],"within":[34],"optimization":[36],"process.":[37],"The":[38,94,142],"method":[39],"simultaneously":[40],"performs":[41],"and":[43,61,111,122,149,152,159],"non-parametric":[44],"estimation.":[46],"It":[47],"does":[48],"not":[49],"make":[50],"any":[51],"assumption":[52],"underlying":[55],"distributions,":[56],"hence":[57],"it":[58],"flexible":[60],"can":[62],"be":[63,77],"applied":[64],"wide":[67],"range":[68],"applications.":[70],"Although":[71],"boundary":[73],"evolution":[74],"scheme":[75],"may":[76],"used":[78],"minimize":[80],"functional,":[82],"we":[83,128,153],"choose":[84],"consider":[86],"alternative":[88],"formulation":[89],"with":[90],"membership":[92],"function.":[93],"latter":[95],"has":[96],"advantage":[98],"being":[100],"convex":[101],"each":[103],"variable,":[104],"so":[105],"that":[106],"minimization":[108],"faster":[110],"less":[112],"sensitive":[113],"initial":[115],"conditions.":[116],"Finally,":[117],"improve":[119],"accuracy":[121],"robustness":[124],"low-frequency":[126],"artifacts,":[127],"present":[129],"extension":[131],"for":[132],"more":[134],"general":[135],"case":[136],"local":[138],"space-varying":[139],"densities.":[141],"approach":[143],"readily":[144],"extends":[145],"vectorial":[147],"images":[148],"3D":[150,166],"volumes,":[151],"show":[154],"several":[155],"results":[156],"synthetic":[158],"photographic":[160],"images,":[161],"as":[162,164],"well":[163],"medical":[167],"data.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
