{"id":"https://openalex.org/W1977358066","doi":"https://doi.org/10.1109/ijcnn.2014.6889386","title":"Fuzzy c-means clustering with a new regularization term for image segmentation","display_name":"Fuzzy c-means clustering with a new regularization term for image segmentation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1977358066","doi":"https://doi.org/10.1109/ijcnn.2014.6889386","mag":"1977358066"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111595753","display_name":"Guangpu Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangpu Shao","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015817857","display_name":"Junbin Gao","orcid":"https://orcid.org/0000-0001-9803-0256"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junbin Gao","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia","Sch. of Comput. & Math., Charles Sturt Univ., Bathurst, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia","institution_ids":["https://openalex.org/I153230381"]},{"raw_affiliation_string":"Sch. of Comput. & Math., Charles Sturt Univ., Bathurst, NSW, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056778408","display_name":"Tianjiang Wang","orcid":"https://orcid.org/0000-0002-8664-4143"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjiang Wang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049969247","display_name":"Yucheng Shu","orcid":"https://orcid.org/0000-0002-5737-9571"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Shu","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111595030","display_name":"Yong Yang","orcid":"https://orcid.org/0000-0001-9467-0942"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Sci. & Tech. Huazhong Univ. of Sci. & Tech., Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"2862","last_page":"2869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.994700014591217,"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/markov-random-field","display_name":"Markov random field","score":0.6692677140235901},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6262690424919128},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6169955730438232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5988179445266724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5362106561660767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5260617136955261},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5232723951339722},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4820762276649475},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4385865330696106},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4237358272075653},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4187619090080261},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.38359418511390686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3726072907447815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26525160670280457}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6692677140235901},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6262690424919128},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6169955730438232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5988179445266724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5362106561660767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5260617136955261},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5232723951339722},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4820762276649475},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4385865330696106},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4237358272075653},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4187619090080261},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.38359418511390686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3726072907447815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26525160670280457},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1964069486","https://openalex.org/W1965126626","https://openalex.org/W1966904454","https://openalex.org/W1970018890","https://openalex.org/W1972168313","https://openalex.org/W1981288815","https://openalex.org/W1986500214","https://openalex.org/W1990368529","https://openalex.org/W1992147426","https://openalex.org/W2022461857","https://openalex.org/W2042154155","https://openalex.org/W2049633694","https://openalex.org/W2070813603","https://openalex.org/W2073459066","https://openalex.org/W2081168105","https://openalex.org/W2092416145","https://openalex.org/W2094952625","https://openalex.org/W2101309634","https://openalex.org/W2108859253","https://openalex.org/W2111733996","https://openalex.org/W2113076747","https://openalex.org/W2113137767","https://openalex.org/W2114850187","https://openalex.org/W2115242586","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2125297725","https://openalex.org/W2133141088","https://openalex.org/W2135705692","https://openalex.org/W2136573752","https://openalex.org/W2137971377","https://openalex.org/W2138524633","https://openalex.org/W2152595235","https://openalex.org/W2153244687","https://openalex.org/W2159834125","https://openalex.org/W2165012164","https://openalex.org/W2165734775","https://openalex.org/W2912565176","https://openalex.org/W3129711340","https://openalex.org/W3211330693","https://openalex.org/W4211007335","https://openalex.org/W6668990524","https://openalex.org/W6682708161"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W4233585817","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2004379491","https://openalex.org/W2088323302","https://openalex.org/W1998269854","https://openalex.org/W2083140487"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,12,19,42,80],"new":[3,20,43,69],"fuzzy":[4],"c-means":[5],"algorithm":[6,133,140],"for":[7],"image":[8],"segmentation":[9],"by":[10,73,101],"introducing":[11],"novel":[13],"spatially":[14],"constrained":[15],"Student's":[16,35,54],"t-distribution":[17,36,55],"and":[18,32,92,99,108,122,144,153],"regularization":[21,70],"term.":[22],"Firstly,":[23],"considering":[24],"that":[25,119],"conventional":[26],"distribution":[27],"models":[28],"lack":[29],"spatial":[30,47],"information":[31,48,107],"the":[33,53,68,74,88,104,125,131,142],"multivariate":[34],"is":[37],"heavily":[38],"tailed,":[39],"we":[40],"propose":[41],"way":[44],"to":[45,64,97,114],"incorporate":[46],"between":[49],"neighboring":[50],"pixels":[51],"into":[52],"based":[56],"on":[57,103,151],"Markov":[58,116],"random":[59,117],"field":[60],"(MRF)":[61],"in":[62,83,112,134],"order":[63],"enhance":[65,94],"robustness.":[66],"Secondly,":[67],"term,":[71],"inspired":[72],"geodesic":[75],"active":[76],"contour":[77],"(GAC)":[78],"with":[79,130,147],"strong":[81],"ability":[82],"capturing":[84],"boundary,":[85],"can":[86],"preserve":[87],"details":[89],"of":[90],"edges":[91],"further":[93],"its":[95],"robustness":[96,143],"noise":[98],"outliers":[100],"capitalizing":[102],"local":[105],"context":[106],"edge":[109],"information.":[110],"Finally,":[111],"comparison":[113],"other":[115,148],"fields":[118],"are":[120,127],"complex":[121],"computationally":[123],"expensive,":[124],"parameters":[126],"easily":[128],"optimized":[129],"EM":[132],"our":[135],"proposed":[136,139],"method.":[137],"The":[138],"demonstrates":[141],"effectiveness,":[145],"compared":[146],"state-of-the-art":[149],"methods":[150],"synthetic":[152],"real":[154],"images.":[155]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
