{"id":"https://openalex.org/W3175273189","doi":"https://doi.org/10.1109/icit46573.2021.9453487","title":"Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field","display_name":"Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field","publication_year":2021,"publication_date":"2021-03-10","ids":{"openalex":"https://openalex.org/W3175273189","doi":"https://doi.org/10.1109/icit46573.2021.9453487","mag":"3175273189"},"language":"en","primary_location":{"id":"doi:10.1109/icit46573.2021.9453487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit46573.2021.9453487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","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/A5101773294","display_name":"Muhammad Azam","orcid":"https://orcid.org/0000-0003-1904-7338"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Muhammad Azam","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085791174","display_name":"Jai Puneet Singh","orcid":"https://orcid.org/0000-0002-1633-1918"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I2799434747","display_name":"Douglas Mental Health University Institute","ror":"https://ror.org/05dk2r620","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2799434747"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jai Puneet Singh","raw_affiliation_strings":["Douglas Research Institute, McGill University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Douglas Research Institute, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I2799434747","https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090600716","display_name":"Nizar Bouguila","orcid":"https://orcid.org/0000-0001-7224-7940"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nizar Bouguila","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101773294"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54666667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"936","last_page":"941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.992900013923645,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.992900013923645,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9904000163078308,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7480083703994751},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6327081918716431},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5937392711639404},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5542138814926147},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5477220416069031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5311870574951172},{"id":"https://openalex.org/keywords/beta","display_name":"BETA (programming language)","score":0.4986729621887207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49513426423072815},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4479411244392395},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43604713678359985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4314602017402649},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43002721667289734},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.41020405292510986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37006574869155884},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21102088689804077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15840774774551392}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7480083703994751},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6327081918716431},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5937392711639404},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5542138814926147},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5477220416069031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5311870574951172},{"id":"https://openalex.org/C2776174256","wikidata":"https://www.wikidata.org/wiki/Q830842","display_name":"BETA (programming language)","level":2,"score":0.4986729621887207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49513426423072815},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4479411244392395},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43604713678359985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4314602017402649},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43002721667289734},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.41020405292510986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37006574869155884},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21102088689804077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15840774774551392},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit46573.2021.9453487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit46573.2021.9453487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W6854689","https://openalex.org/W1972168313","https://openalex.org/W1972305392","https://openalex.org/W1972544340","https://openalex.org/W1973880112","https://openalex.org/W2031879798","https://openalex.org/W2051110770","https://openalex.org/W2055325763","https://openalex.org/W2081839654","https://openalex.org/W2111733996","https://openalex.org/W2118386984","https://openalex.org/W2119053066","https://openalex.org/W2121189958","https://openalex.org/W2122374500","https://openalex.org/W2127893047","https://openalex.org/W2132106992","https://openalex.org/W2141244323","https://openalex.org/W2141362318","https://openalex.org/W2150606601","https://openalex.org/W2150782396","https://openalex.org/W2150956999","https://openalex.org/W2152594362","https://openalex.org/W2164131589","https://openalex.org/W2164201421","https://openalex.org/W2169714360","https://openalex.org/W2573597659","https://openalex.org/W2613364025","https://openalex.org/W2679995671","https://openalex.org/W2756751105","https://openalex.org/W6670708384","https://openalex.org/W6680581086"],"related_works":["https://openalex.org/W4233585817","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W987019958","https://openalex.org/W2188882668","https://openalex.org/W2030382593","https://openalex.org/W2086619084","https://openalex.org/W2004379491","https://openalex.org/W1983122994","https://openalex.org/W2078379274"],"abstract_inverted_index":{"Finite":[0],"mixture":[1,23,45],"models":[2,46],"are":[3],"one":[4],"of":[5,44,86,114],"the":[6],"most":[7],"widely":[8],"used":[9],"probabilistic":[10],"methods":[11],"for":[12],"image":[13],"segmentation.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18],"propose":[19],"and":[20,62,89,107,117],"investigate":[21],"a":[22,53],"model":[24,67],"based":[25,41,75],"on":[26,42,76],"Beta-Liouville":[27],"distributions,":[28],"which":[29],"offers":[30],"more":[31],"flexibility":[32],"than":[33],"previously":[34],"proposed":[35,38,80,101],"models.":[36],"The":[37,66,79,96],"approach":[39,81],"is":[40,57,68,82],"integration":[43],"with":[47,52,84,93,120],"Markov":[48],"Random":[49],"Field":[50],"(MRF)":[51],"novel":[54],"factor":[55],"that":[56,100],"induced":[58],"to":[59,112],"reduce":[60],"noise":[61],"illumination":[63],"in":[64],"images.":[65],"learned":[69],"using":[70],"Expectation":[71],"Maximization":[72],"(EM)":[73],"algorithm":[74],"Newton-Raphson":[77],"approach.":[78],"compared":[83,111],"mixtures":[85,113],"Gaussian,":[87,115],"Dirichlet":[88,91,116,119],"generalized":[90,118],"distributions":[92],"integrated":[94],"MRF.":[95,121],"experimental":[97],"results":[98,109],"demonstrate":[99],"segmentation":[102],"framework":[103],"gives":[104],"better":[105,108],"performance":[106],"as":[110]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
