{"id":"https://openalex.org/W4387123762","doi":"https://doi.org/10.1109/case56687.2023.10260372","title":"Hybrid Fuzzy C-Means Using Particle Swarm Optimization (PSO) and Differential Evolution (DE) for Image Segmentation","display_name":"Hybrid Fuzzy C-Means Using Particle Swarm Optimization (PSO) and Differential Evolution (DE) for Image Segmentation","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4387123762","doi":"https://doi.org/10.1109/case56687.2023.10260372"},"language":"en","primary_location":{"id":"doi:10.1109/case56687.2023.10260372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case56687.2023.10260372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","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/A5109421535","display_name":"C. H. Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"C. H. Tan","raw_affiliation_strings":["Universiti Sains Malaysia,Nibong Tebal,Pulau Pinang,Malaysia,14300"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Sains Malaysia,Nibong Tebal,Pulau Pinang,Malaysia,14300","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005971246","display_name":"Parvathy Rajendran","orcid":"https://orcid.org/0000-0002-7430-1389"},"institutions":[{"id":"https://openalex.org/I139322472","display_name":"Universiti Sains Malaysia","ror":"https://ror.org/02rgb2k63","country_code":"MY","type":"education","lineage":["https://openalex.org/I139322472"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"P. Rajendran","raw_affiliation_strings":["Universiti Sains Malaysia,Nibong Tebal,Pulau Pinang,Malaysia,14300"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Sains Malaysia,Nibong Tebal,Pulau Pinang,Malaysia,14300","institution_ids":["https://openalex.org/I139322472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048146097","display_name":"Vijayanandh Raja","orcid":"https://orcid.org/0000-0003-4992-3028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Raja","raw_affiliation_strings":["Kumaraguru College of Technology,Department of Aeronautical Engineering,Coimbatore,Tamil Nadu,India,641049"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumaraguru College of Technology,Department of Aeronautical Engineering,Coimbatore,Tamil Nadu,India,641049","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009073911","display_name":"Elango Natarajan","orcid":"https://orcid.org/0000-0003-1215-0789"},"institutions":[{"id":"https://openalex.org/I55285296","display_name":"UCSI University","ror":"https://ror.org/019787q29","country_code":"MY","type":"education","lineage":["https://openalex.org/I55285296"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"E. Natarajan","raw_affiliation_strings":["UCSI University,Faculty of Engineering, Technology and Built Environment,Cheras Kuala Lumpur,Malaysia,56000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCSI University,Faculty of Engineering, Technology and Built Environment,Cheras Kuala Lumpur,Malaysia,56000","institution_ids":["https://openalex.org/I55285296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6903,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87308499,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955999851226807,"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":0.9955999851226807,"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":0.9883000254631042,"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":0.987500011920929,"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/initialization","display_name":"Initialization","score":0.7750372886657715},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7432851791381836},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6868464946746826},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6592286229133606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6365631818771362},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.6039587259292603},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5808668732643127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5662607550621033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5607579946517944},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.559038519859314},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5531623363494873},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5362554788589478},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3576183617115021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30366647243499756}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7750372886657715},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7432851791381836},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6868464946746826},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6592286229133606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6365631818771362},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6039587259292603},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5808668732643127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5662607550621033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5607579946517944},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.559038519859314},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5531623363494873},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5362554788589478},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3576183617115021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30366647243499756},{"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/case56687.2023.10260372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case56687.2023.10260372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th 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":23,"referenced_works":["https://openalex.org/W267311712","https://openalex.org/W331083581","https://openalex.org/W611000878","https://openalex.org/W1510047790","https://openalex.org/W1957343200","https://openalex.org/W1965118480","https://openalex.org/W1966935423","https://openalex.org/W1977359339","https://openalex.org/W1986744422","https://openalex.org/W2006611586","https://openalex.org/W2050089483","https://openalex.org/W2070813603","https://openalex.org/W2075752599","https://openalex.org/W2085982680","https://openalex.org/W2089345624","https://openalex.org/W2125297725","https://openalex.org/W2165012164","https://openalex.org/W2213417357","https://openalex.org/W2216748439","https://openalex.org/W2292636747","https://openalex.org/W2530925739","https://openalex.org/W2776540797","https://openalex.org/W2791288608"],"related_works":["https://openalex.org/W2003904901","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2767141225","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296"],"abstract_inverted_index":{"Among":[0],"fuzzy":[1,4],"clustering":[2],"methods,":[3],"C-means":[5],"(FCM)":[6],"have":[7],"become":[8],"more":[9],"popular":[10],"in":[11,163],"image":[12,164],"segmentation":[13,81,106],"because":[14],"of":[15,34,67,71,120,130,141],"their":[16],"simplicity":[17],"and":[18,28,57,74],"effectiveness.":[19],"However,":[20],"FCM":[21,48,77],"is":[22,61,148,158],"generally":[23],"very":[24],"sensitive":[25],"to":[26,63,134,143],"noise":[27],"highly":[29],"dependent":[30],"on":[31],"the":[32,65,80,91,111,138,154],"initialization":[33],"cluster":[35,92],"centers,":[36],"making":[37],"it":[38],"fall":[39],"into":[40,76],"local":[41],"maxima.":[42],"In":[43,87],"this":[44],"paper,":[45],"a":[46,126],"hybrid":[47],"algorithm":[49,157],"(HDEPSO-FCM)":[50],"that":[51],"integrates":[52],"particle":[53],"swarm":[54],"optimization":[55],"(PSO),":[56],"differential":[58],"evolution":[59],"(DE)":[60],"proposed":[62,155],"address":[64],"weaknesses":[66],"FCM.":[68],"The":[69],"idea":[70],"hybridizing":[72],"PSO":[73],"DE":[75],"has":[78,124],"refined":[79],"quality":[82],"by":[83,151],"providing":[84],"anti-noise":[85],"ability.":[86],"addition,":[88],"HDEPSO-FCM":[89,99,123,142,156],"initializes":[90],"centers":[93],"optimally,":[94],"thus,":[95],"faster":[96,150],"segmentation.":[97,165],"Hence,":[98],"performs":[100],"relatively":[101],"better":[102,127],"than":[103],"other":[104,135],"state-of-the-art":[105],"methods":[107],"when":[108,132],"tested":[109],"with":[110],"Berkeley":[112],"Segmentation":[113],"Data":[114],"Set":[115],"(BSDS)":[116],"images.":[117],"Remarkably,":[118],"out":[119],"500":[121],"images,":[122],"obtained":[125],"average":[128],"PRI":[129],"0.7480":[131],"compared":[133],"techniques.":[136],"Moreover,":[137],"computational":[139],"cost":[140],"segment":[144],"100":[145],"test":[146],"images":[147],"also":[149],"43.8%.":[152],"Thus,":[153],"an":[159],"effective":[160],"alternative":[161],"method":[162]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}