{"id":"https://openalex.org/W3142876798","doi":"https://doi.org/10.1109/access.2021.3070044","title":"Kernel-Based Intuitionistic Fuzzy Clustering Image Segmentation Based on Grey Wolf Optimizer With Differential Mutation","display_name":"Kernel-Based Intuitionistic Fuzzy Clustering Image Segmentation Based on Grey Wolf Optimizer With Differential Mutation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3142876798","doi":"https://doi.org/10.1109/access.2021.3070044","mag":"3142876798"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3070044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3070044","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09391705.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09391705.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102022051","display_name":"Xiangxiao Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiao Lei","raw_affiliation_strings":["School of Electronic Information Engineering, Changsha Social Work College, Changsha, China","College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2091-6633","affiliations":[{"raw_affiliation_string":"School of Electronic Information Engineering, Changsha Social Work College, Changsha, China","institution_ids":["https://openalex.org/I198357462"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102113975","display_name":"Honglin Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglin Ouyang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7592,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74301643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"85455","last_page":"85463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937999844551086,"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":0.9937999844551086,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9930999875068665,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.6939650774002075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5601391792297363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5572602152824402},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5178990364074707},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5165306925773621},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5030576586723328},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5010974407196045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.498260498046875},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.434345543384552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3957497775554657},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3297484517097473}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6939650774002075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5601391792297363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5572602152824402},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5178990364074707},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5165306925773621},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5030576586723328},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5010974407196045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.498260498046875},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.434345543384552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3957497775554657},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3297484517097473},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3070044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3070044","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09391705.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cc6ebd51996a4d3aa778586c5ac1a9ca","is_oa":true,"landing_page_url":"https://doaj.org/article/cc6ebd51996a4d3aa778586c5ac1a9ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 85455-85463 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3070044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3070044","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09391705.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5650902344","display_name":null,"funder_award_id":"No.2020JJ7088","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"}],"funders":[{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3142876798.pdf","grobid_xml":"https://content.openalex.org/works/W3142876798.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2061438946","https://openalex.org/W2123381582","https://openalex.org/W2203649114","https://openalex.org/W2345827752","https://openalex.org/W2416614998","https://openalex.org/W2473655448","https://openalex.org/W2798196978","https://openalex.org/W2952473832","https://openalex.org/W3169921683","https://openalex.org/W6796527431"],"related_works":["https://openalex.org/W2992415251","https://openalex.org/W4283765137","https://openalex.org/W2390808588","https://openalex.org/W2164422526","https://openalex.org/W4384024895","https://openalex.org/W2335812169","https://openalex.org/W2468239603","https://openalex.org/W57712993","https://openalex.org/W4231861448","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Conventional":[0],"fuzzy":[1,41,54,82],"clustering":[2,42,56,83,176],"algorithms":[3,151,172],"present":[4],"several":[5,170],"disadvantages":[6],"with":[7,50,97,173,188],"respect":[8,174],"to":[9,15,25,86,175],"image":[10,66],"segmentation,":[11],"including":[12],"a":[13,21,38,51,79],"tendency":[14],"arrive":[16],"at":[17],"local":[18,102,163],"optima":[19,103],"and":[20,27,76,101,146,157,181],"relatively":[22],"high":[23],"sensitivity":[24,100],"noise":[26],"initial":[28,99],"cluster":[29,122],"centers.":[30,123],"To":[31,95],"address":[32],"these":[33],"issues,":[34,104],"we":[35,105],"herein":[36],"propose":[37],"kernel-based":[39,52,80],"intuitionistic":[40,53,81],"approach":[43],"combining":[44],"an":[45,107],"improved":[46,108,135],"grey":[47,109,136,143,148],"wolf":[48,110,137,144,149],"optimizer":[49,111,138,145,150],"C-means":[55],"(IGWO-KIFCM)":[57],"algorithm":[58,92,139,168],"capable":[59],"of":[60,90,120,154,191],"carrying":[61],"out":[62],"differential":[63,114],"mutations":[64],"for":[65,116],"segmentation.":[67],"The":[68],"proposed":[69],"method":[70],"extracts":[71],"spatial":[72],"information":[73],"from":[74],"images":[75,187],"then":[77],"applies":[78],"objective":[84],"function":[85],"improve":[87],"the":[88,91,98,117,121,134,142,166],"robustness":[89],"against":[93],"noise.":[94],"cope":[96],"develop":[106],"based":[112],"on":[113],"mutation":[115],"global":[118],"optimization":[119,126],"A":[124],"comparative":[125],"assessment":[127],"using":[128],"six":[129],"classic":[130],"functions":[131],"reveals":[132],"that":[133],"outperforms":[140],"both":[141],"mean":[147],"in":[152,185],"terms":[153],"searching":[155],"ability":[156],"does":[158],"not":[159],"easily":[160],"run":[161],"into":[162],"optima.":[164],"Moreover,":[165],"IGWO-KIFCM":[167],"surpasses":[169],"other":[171],"performance":[177],"across":[178],"multiple":[179],"datasets,":[180],"achieves":[182],"good":[183],"results":[184],"segmenting":[186],"various":[189],"types":[190],"noises.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}