{"id":"https://openalex.org/W3113663489","doi":"https://doi.org/10.23919/eusipco47968.2020.9287383","title":"Pairwise and Hidden Markov Random Fields in Image Segmentation","display_name":"Pairwise and Hidden Markov Random Fields in Image Segmentation","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3113663489","doi":"https://doi.org/10.23919/eusipco47968.2020.9287383","mag":"3113663489"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287383","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03959030/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015312265","display_name":"Jean\u2010Baptiste Courbot","orcid":"https://orcid.org/0000-0001-6369-3463"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]},{"id":"https://openalex.org/I4210115519","display_name":"Centre de Recherche en Informatique","ror":"https://ror.org/020cdve92","country_code":"FR","type":"facility","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I4210091621","https://openalex.org/I4210115519","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Baptiste Courbot","raw_affiliation_strings":["IRIMAS UR 7499, Universit\u00e9 de Haute Alsace, Mulhouse, France","IRIMAS - Institut de Recherche en Informatique Math\u00e9matiques Automatique Signal - IRIMAS - UR 7499 (12 rue des Fr\u00e8res Lumi\u00e8re - 68093 MULHOUSE Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRIMAS UR 7499, Universit\u00e9 de Haute Alsace, Mulhouse, France","institution_ids":["https://openalex.org/I2800745255"]},{"raw_affiliation_string":"IRIMAS - Institut de Recherche en Informatique Math\u00e9matiques Automatique Signal - IRIMAS - UR 7499 (12 rue des Fr\u00e8res Lumi\u00e8re - 68093 MULHOUSE Cedex - France)","institution_ids":["https://openalex.org/I4210115519"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058624806","display_name":"Vincent Mazet","orcid":"https://orcid.org/0000-0002-1779-7736"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100283","display_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","ror":"https://ror.org/00k4e5n71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2801509770","https://openalex.org/I4210095849","https://openalex.org/I4210100283","https://openalex.org/I4210159245","https://openalex.org/I68947357"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Mazet","raw_affiliation_strings":["ICube UMR 7357, Universit\u00e9 de Strasbourg \u2013 CNRS, Illkirch, France","ICube - Laboratoire des sciences de l'ing\u00e9nieur, de l'informatique et de l'imagerie (300 bd S\u00e9bastien Brant - BP 10413 - F-67412 Illkirch Cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICube UMR 7357, Universit\u00e9 de Strasbourg \u2013 CNRS, Illkirch, France","institution_ids":["https://openalex.org/I4210100283","https://openalex.org/I68947357","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"ICube - Laboratoire des sciences de l'ing\u00e9nieur, de l'informatique et de l'imagerie (300 bd S\u00e9bastien Brant - BP 10413 - F-67412 Illkirch Cedex - France)","institution_ids":["https://openalex.org/I4210100283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43324508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2458","last_page":"2462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.993399977684021,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.993399977684021,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991100013256073,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7272568345069885},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6799696683883667},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.657352864742279},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6524096727371216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6402172446250916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6005207896232605},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5952494740486145},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.590242326259613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5584330558776855},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5408251285552979},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5354291200637817},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5261696577072144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.512945830821991},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.4641460180282593},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4147354066371918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34249573945999146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2482672929763794},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15018904209136963}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7272568345069885},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6799696683883667},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.657352864742279},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6524096727371216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6402172446250916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6005207896232605},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5952494740486145},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.590242326259613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5584330558776855},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5408251285552979},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5354291200637817},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5261696577072144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.512945830821991},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.4641460180282593},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4147354066371918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34249573945999146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2482672929763794},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15018904209136963}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287383","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287383","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03959030v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03959030","pdf_url":"https://hal.science/hal-03959030/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EUSIPCO 2020, Jan 2020, Amsterdam, Netherlands. ⟨10.23919/Eusipco47968.2020.9287383⟩","raw_type":"Conference papers"},{"id":"pmh:oai:univoak.eu:islandora_110781","is_oa":false,"landing_page_url":"https://univoak.eu/islandora/object/islandora%3A110781","pdf_url":null,"source":{"id":"https://openalex.org/S4306402449","display_name":"univOAK (4 institutions : Universit\u00e9 de Strasbourg, Universit\u00e9 de Haute Alsace, INSA Strasbourg, Biblioth\u00e8que Nationale et Universitaire de Strasbourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210100283","host_organization_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","host_organization_lineage":["https://openalex.org/I4210100283"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:univoak.eu:islandora_138054","is_oa":false,"landing_page_url":"https://univoak.eu/islandora/object/islandora%3A138054","pdf_url":null,"source":{"id":"https://openalex.org/S4306402449","display_name":"univOAK (4 institutions : Universit\u00e9 de Strasbourg, Universit\u00e9 de Haute Alsace, INSA Strasbourg, Biblioth\u00e8que Nationale et Universitaire de Strasbourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210100283","host_organization_name":"Laboratoire des Sciences de l'Ing\u00e9nieur, de l'Informatique et de l'Imagerie","host_organization_lineage":["https://openalex.org/I4210100283"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03959030v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03959030","pdf_url":"https://hal.science/hal-03959030/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EUSIPCO 2020, Jan 2020, Amsterdam, Netherlands. ⟨10.23919/Eusipco47968.2020.9287383⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3113663489.pdf","grobid_xml":"https://content.openalex.org/works/W3113663489.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1433915693","https://openalex.org/W1484791868","https://openalex.org/W1554544485","https://openalex.org/W1576681671","https://openalex.org/W1651266332","https://openalex.org/W2020999234","https://openalex.org/W2053321126","https://openalex.org/W2094757164","https://openalex.org/W2127218421","https://openalex.org/W2129629046","https://openalex.org/W2138565847","https://openalex.org/W2156090049","https://openalex.org/W2166135831","https://openalex.org/W2314800511","https://openalex.org/W2928605992","https://openalex.org/W2943974150","https://openalex.org/W6629100594","https://openalex.org/W6634146276","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2379938888","https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W987019958","https://openalex.org/W2799426416","https://openalex.org/W4233015508","https://openalex.org/W2099971354"],"abstract_inverted_index":{"The":[0,22,58],"purpose":[1],"of":[2,78],"this":[3],"paper":[4],"is":[5,25,55],"to":[6,75],"identify":[7],"the":[8,26,32,39,49,76],"similarities":[9],"and":[10,46,70],"differences":[11],"between":[12],"two":[13,59],"image":[14],"restoration":[15],"approaches":[16,60],"based":[17,63],"on":[18,64],"Markov":[19],"field":[20],"modeling.":[21],"first":[23],"one":[24],"well-known":[27],"Bayesian":[28],"approach":[29],"which":[30],"models":[31],"unknowns":[33],"with":[34],"a":[35,53],"Markovian":[36],"prior.":[37],"In":[38],"second":[40],"approach,":[41],"as":[42,52],"proposed":[43],"by":[44],"Pieczynski":[45],"Tebbache":[47],"[1],":[48],"pair":[50],"unknowns-observations":[51],"whole":[54],"considered":[56],"Markovian.":[57],"are":[61],"compared":[62],"their":[65],"posterior":[66],"distribution,":[67],"synthetic":[68],"results":[69],"real":[71],"examples,":[72],"when":[73],"applied":[74],"segmentation":[77],"degraded":[79],"images.":[80]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}