{"id":"https://openalex.org/W2004559293","doi":"https://doi.org/10.1109/icip.2010.5652637","title":"An improved fuzzy clustering approach for image segmentation","display_name":"An improved fuzzy clustering approach for image segmentation","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2004559293","doi":"https://doi.org/10.1109/icip.2010.5652637","mag":"2004559293"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/1026298/file/1026302.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015925565","display_name":"Ivana Despotovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Ivana Despotovic","raw_affiliation_strings":["Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101986863","display_name":"Bart Goossens","orcid":"https://orcid.org/0000-0002-4942-132X"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bart Goossens","raw_affiliation_strings":["Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067368696","display_name":"Ewout Vansteenkiste","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ewout Vansteenkiste","raw_affiliation_strings":["Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015925565"],"corresponding_institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"],"apc_list":null,"apc_paid":null,"fwci":1.6162,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8420439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9958000183105469,"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":0.9955999851226807,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7063799500465393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6786920428276062},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6751307249069214},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6638302803039551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158827543258667},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6086585521697998},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5678502321243286},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5525545477867126},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5242484211921692},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5186718702316284},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5036973357200623},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49011167883872986},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45742711424827576},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4315158724784851},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41729652881622314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3804972469806671},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3492359519004822},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3180001378059387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3159993588924408},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.2294905185699463}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7063799500465393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6786920428276062},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6751307249069214},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6638302803039551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158827543258667},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6086585521697998},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5678502321243286},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5525545477867126},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5242484211921692},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5186718702316284},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5036973357200623},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49011167883872986},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45742711424827576},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4315158724784851},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41729652881622314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3804972469806671},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3492359519004822},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3180001378059387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3159993588924408},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.2294905185699463},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2010.5652637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:1026298","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-1026298","pdf_url":"https://biblio.ugent.be/publication/1026298/file/1026302.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISBN: 9781424479931","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:1026298","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-1026298","pdf_url":"https://biblio.ugent.be/publication/1026298/file/1026302.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISBN: 9781424479931","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2004559293.pdf","grobid_xml":"https://content.openalex.org/works/W2004559293.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1972544340","https://openalex.org/W1992147426","https://openalex.org/W2008748102","https://openalex.org/W2058915639","https://openalex.org/W2094753268","https://openalex.org/W2113076747","https://openalex.org/W2115242586","https://openalex.org/W2121189958","https://openalex.org/W2127899612","https://openalex.org/W2160172739","https://openalex.org/W2483347049"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W4205800335","https://openalex.org/W2387793296","https://openalex.org/W1558398159"],"abstract_inverted_index":{"Fuzzy":[0],"clustering":[1,18],"techniques":[2],"have":[3],"been":[4],"widely":[5],"used":[6],"in":[7],"automated":[8],"image":[9],"segmentation.":[10],"However,":[11],"since":[12],"the":[13,40,64,70,76,98,109,112],"standard":[14],"fuzzy":[15],"c-means":[16],"(FCM)":[17],"algorithm":[19,42,78],"does":[20],"not":[21],"consider":[22,58],"any":[23],"spatial":[24,49,60],"information,":[25],"it":[26],"is":[27,79,101],"highly":[28],"sensitive":[29],"to":[30,43,105],"noise.":[31],"In":[32],"this":[33,45],"paper,":[34],"we":[35],"present":[36],"an":[37],"extension":[38],"of":[39,69,75,111],"FCM":[41],"overcome":[44],"drawback,":[46],"by":[47],"incorporating":[48],"neighborhood":[50],"information":[51,61],"into":[52],"a":[53],"new":[54],"similarity":[55],"measure.":[56],"We":[57],"that":[59,97],"depends":[62],"on":[63,81],"relative":[65],"location":[66],"and":[67,83,92,107],"features":[68],"neighboring":[71],"pixels.":[72],"The":[73],"performance":[74],"proposed":[77,99],"tested":[80],"synthetic":[82],"real":[84],"images":[85],"with":[86],"different":[87],"noise":[88,106],"levels.":[89],"Experimental":[90],"quantitative":[91],"qualitative":[93],"segmentation":[94],"results":[95],"show":[96],"method":[100],"effective,":[102],"more":[103],"robust":[104],"preserves":[108],"homogeneity":[110],"regions":[113],"better":[114],"than":[115],"other":[116],"FCM-based":[117],"methods.":[118]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
