{"id":"https://openalex.org/W1993841287","doi":"https://doi.org/10.1109/icip.2014.7026225","title":"Nonparametric MDL segmentation of inhomogeneous images based on Quadratic Local Binary Fitting","display_name":"Nonparametric MDL segmentation of inhomogeneous images based on Quadratic Local Binary Fitting","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1993841287","doi":"https://doi.org/10.1109/icip.2014.7026225","mag":"1993841287"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7026225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5100781720","display_name":"Siwei Liu","orcid":"https://orcid.org/0000-0002-7326-2883"},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Siwei Liu","raw_affiliation_strings":["Aix Marseille Universit\u00e9, Institut Fresnel, Marseille, France","Aix Marseille Universit\u00e9 CNRS, Centrale Marseille, Institut Fresnel UMR 7249, 13013 Marseille France"],"affiliations":[{"raw_affiliation_string":"Aix Marseille Universit\u00e9, Institut Fresnel, Marseille, France","institution_ids":["https://openalex.org/I4210125985","https://openalex.org/I21491767"]},{"raw_affiliation_string":"Aix Marseille Universit\u00e9 CNRS, Centrale Marseille, Institut Fresnel UMR 7249, 13013 Marseille France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036644341","display_name":"Fr\u00e9d\u00e9ric Galland","orcid":null},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Galland","raw_affiliation_strings":["Aix Marseille Universit\u00e9, Institut Fresnel, Marseille, France","Aix Marseille Universit\u00e9 CNRS, Centrale Marseille, Institut Fresnel UMR 7249, 13013 Marseille France"],"affiliations":[{"raw_affiliation_string":"Aix Marseille Universit\u00e9, Institut Fresnel, Marseille, France","institution_ids":["https://openalex.org/I4210125985","https://openalex.org/I21491767"]},{"raw_affiliation_string":"Aix Marseille Universit\u00e9 CNRS, Centrale Marseille, Institut Fresnel UMR 7249, 13013 Marseille France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037765722","display_name":"Nicolas Bertaux","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]},{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Bertaux","raw_affiliation_strings":["Aix Marseille Universit\u00e9, Institut Fresnel, Marseille, France","Aix Marseille Universit\u00e9 CNRS, Centrale Marseille, Institut Fresnel UMR 7249, 13013 Marseille France"],"affiliations":[{"raw_affiliation_string":"Aix Marseille Universit\u00e9, Institut Fresnel, Marseille, France","institution_ids":["https://openalex.org/I4210125985","https://openalex.org/I21491767"]},{"raw_affiliation_string":"Aix Marseille Universit\u00e9 CNRS, Centrale Marseille, Institut Fresnel UMR 7249, 13013 Marseille France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100781720"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210125985"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06915322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"6071","last_page":"6075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.987500011920929,"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":0.9843000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6650838851928711},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.619631290435791},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6118053793907166},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6010708808898926},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5662293434143066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5277320146560669},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.523221492767334},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5213257670402527},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5132431983947754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5082640051841736},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5044187307357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4940524399280548},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4898485839366913},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4703528881072998},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4601912796497345},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4385421574115753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41411030292510986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3724394738674164},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3587709069252014},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18211379647254944},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17717444896697998},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.13122844696044922},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0895470678806305}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6650838851928711},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.619631290435791},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6118053793907166},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6010708808898926},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5662293434143066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5277320146560669},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.523221492767334},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5213257670402527},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5132431983947754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5082640051841736},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5044187307357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4940524399280548},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4898485839366913},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4703528881072998},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4601912796497345},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4385421574115753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41411030292510986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3724394738674164},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3587709069252014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18211379647254944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17717444896697998},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.13122844696044922},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0895470678806305},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7026225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7026225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01275631v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01275631","pdf_url":null,"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":"http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6992914","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1488849359","https://openalex.org/W1977815842","https://openalex.org/W2009767800","https://openalex.org/W2010810556","https://openalex.org/W2011083450","https://openalex.org/W2065350495","https://openalex.org/W2079690285","https://openalex.org/W2093752487","https://openalex.org/W2095049733","https://openalex.org/W2098152234","https://openalex.org/W2112891016","https://openalex.org/W2115106296","https://openalex.org/W2116040950","https://openalex.org/W2126923264","https://openalex.org/W2137993841","https://openalex.org/W2144857435","https://openalex.org/W2148395215","https://openalex.org/W2155027977","https://openalex.org/W2155343350","https://openalex.org/W2161891420","https://openalex.org/W2165734775"],"related_works":["https://openalex.org/W4298831272","https://openalex.org/W2962916388","https://openalex.org/W2170360854","https://openalex.org/W2115106296","https://openalex.org/W2168652261","https://openalex.org/W2380607399","https://openalex.org/W2012957732","https://openalex.org/W2182824541","https://openalex.org/W2111808431","https://openalex.org/W2161430947"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,11,24,32,41,62,99,104,108,117,123,130,146,149],"problem":[4],"of":[5,13,17,31,119,148],"two-region":[6],"noisy":[7],"image":[8],"segmentation":[9,81,151],"in":[10,107,116,142],"presence":[12],"intensity":[14,34,63,100,131],"inhomogeneity":[15,25,105,132],"and":[16,39,43,102],"unknown":[18],"noise":[19,60],"fluctuations.":[20],"For":[21],"that":[22,115],"purpose,":[23],"is":[26],"modeled":[27,67],"as":[28],"spatial":[29],"variations":[30],"mean":[33],"(which":[35],"are":[36,44,65],"different":[37],"inside":[38],"outside":[40],"object)":[42],"estimated":[45],"using":[46],"Local":[47,138],"Binary":[48,139],"Fitting":[49,140],"(LBF)":[50],"approach.":[51],"In":[52],"order":[53,143],"to":[54,57,75,128,136,144],"be":[55,113,134],"robust":[56],"non":[58],"standard":[59,124],"phenomena,":[61],"fluctuations":[64,101],"then":[66],"with":[68],"nonparametric":[69],"probability":[70],"density":[71],"functions":[72],"(pdf)":[73],"leading":[74],"a":[76,85,95],"new":[77],"polygonal":[78],"active":[79],"contour":[80],"technique":[82],"based":[83],"on":[84,98,103],"Minimum":[86],"Description":[87],"Length":[88],"(MDL)":[89],"criterion":[90],"which":[91],"does":[92],"not":[93],"require":[94],"priori":[96],"knowledge":[97],"present":[106],"image.":[109],"Furthermore,":[110],"it":[111],"will":[112],"shown":[114],"case":[118],"highly":[120],"inhomogeneous":[121],"images,":[122],"LBF":[125],"approach":[126],"used":[127],"estimate":[129],"can":[133],"generalized":[135],"Quadratic":[137],"(QLBF)":[141],"improve":[145],"performance":[147],"proposed":[150],"technique.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
