{"id":"https://openalex.org/W1636034780","doi":"https://doi.org/10.1109/coase.2015.7294275","title":"A noise- and size-insensitive integrity-based fuzzy c-means algorithm for image segmentation","display_name":"A noise- and size-insensitive integrity-based fuzzy c-means algorithm for image segmentation","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1636034780","doi":"https://doi.org/10.1109/coase.2015.7294275","mag":"1636034780"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2015.7294275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5113455230","display_name":"Phen-Lan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Phen-Lan Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Providence University, Taiwan","Department of Computer Science and Information Engineering, Providence University, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, Taiwan","institution_ids":["https://openalex.org/I177918364"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, Taiwan#TAB#","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111705455","display_name":"Po-Whei Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Whei Huang","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung-Hsing University, Taiwan","Dept. of Computer Science and Engineering, National Chung Hsing University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung-Hsing University, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Chung Hsing University, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035896660","display_name":"Chia\u2010Hung Kuo","orcid":"https://orcid.org/0000-0003-3445-5663"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"C.H. Kuo","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung-Hsing University, Taiwan","Dept. of Computer Science and Engineering, National Chung Hsing University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung-Hsing University, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, National Chung Hsing University, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113455230"],"corresponding_institution_ids":["https://openalex.org/I177918364"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05019408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1282","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937000274658203,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6153646111488342},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5818440318107605},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5742985010147095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5692459344863892},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5531135201454163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5455878973007202},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5426602363586426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5421991348266602},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4906095564365387},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.47763410210609436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46245765686035156},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42584097385406494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3591296970844269},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3325091600418091}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6153646111488342},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5818440318107605},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5742985010147095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5692459344863892},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5531135201454163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5455878973007202},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5426602363586426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5421991348266602},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4906095564365387},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.47763410210609436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46245765686035156},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42584097385406494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3591296970844269},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3325091600418091},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2015.7294275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W42936500","https://openalex.org/W1990368529","https://openalex.org/W1992147426","https://openalex.org/W1992796772","https://openalex.org/W2029064186","https://openalex.org/W2031923818","https://openalex.org/W2034712837","https://openalex.org/W2077599753","https://openalex.org/W2113076747","https://openalex.org/W2115242586","https://openalex.org/W2121927366","https://openalex.org/W2165012164"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Traditional":[0],"fuzzy":[1],"c-means":[2],"(FCM)":[3],"algorithm,":[4],"a":[5,67,86,142,153],"popular":[6],"method":[7],"in":[8,158],"data":[9,118,132],"clustering":[10],"and":[11,21,32,43,73,77,93,127,150,172,181,198],"image":[12],"segmentation,":[13],"is":[14,107],"known":[15],"to":[16,19,34,82,99,120,134,160],"be":[17],"sensitive":[18],"noise":[20,59,101],"cluster":[22,36,126,137],"size,":[23],"as":[24,79,109],"it":[25],"does":[26],"not":[27],"consider":[28],"any":[29],"spatial":[30],"information":[31,41],"tends":[33],"balance":[35],"populations.":[37],"FLICM":[38],"(fuzzy":[39],"local":[40,87],"c-means)":[42],"siibFCM":[44],"(size-insensitive":[45],"integrity-based":[46,75],"FCM)":[47],"are":[48,156],"two":[49],"of":[50,69,95,123,152,163],"FCM":[51,76],"variation":[52,68],"algorithms,":[53],"each":[54,96],"demonstrated":[55],"effective":[56],"on":[57,91,178],"overcoming":[58],"or":[60,196],"size":[61,149],"sensitivity":[62],"problem.":[63],"This":[64],"paper":[65],"presents":[66],"siibFCM,":[70,159],"called":[71],"noise-":[72],"size-insensitive":[74],"denoted":[78],"nsiibFCM.":[80],"Similar":[81],"FLICM,":[83],"nsiibFCM":[84,140,188],"incorporates":[85],"similarity":[88],"measure":[89],"based":[90],"intensity":[92],"purity":[94,106],"neighboring":[97],"pixel":[98],"remove":[100],"while":[102],"preserving":[103],"details,":[104],"where":[105],"defined":[108],"the":[110,114,117,121,128,131,169],"normalized":[111],"difference":[112],"between":[113],"distance":[115,129],"from":[116,130,166],"point":[119,133],"center":[122],"its":[124,135],"assigned":[125],"nearest":[136],"center.":[138],"Meanwhile,":[139],"uses":[141],"condition":[143],"value":[144],"calculated":[145],"by":[146],"using":[147],"both":[148,179],"integrity":[151],"cluster,":[154],"which":[155],"presented":[157],"prevent":[161],"centers":[162],"small":[164],"clusters":[165],"drifting":[167],"toward":[168],"adjacent":[170],"larger":[171],"dispersive":[173],"distributed":[174],"clusters.":[175,200],"Experimental":[176],"results":[177],"synthetic":[180],"real-world":[182],"images":[183,193],"show":[184],"that":[185],"our":[186],"proposed":[187],"can":[189],"effectively":[190],"partition":[191],"noisy":[192],"with":[194],"balance-":[195],"unbalance-populated":[197],"dispersive-distributed":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}