{"id":"https://openalex.org/W2804687305","doi":"https://doi.org/10.1145/3185089.3185139","title":"Research on Image Segmentation Optimization Algorithm based on Chaotic Particle Swarm Optimization and Fuzzy Clustering","display_name":"Research on Image Segmentation Optimization Algorithm based on Chaotic Particle Swarm Optimization and Fuzzy Clustering","publication_year":2018,"publication_date":"2018-02-08","ids":{"openalex":"https://openalex.org/W2804687305","doi":"https://doi.org/10.1145/3185089.3185139","mag":"2804687305"},"language":"en","primary_location":{"id":"doi:10.1145/3185089.3185139","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3185089.3185139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 7th International Conference on Software and Computer Applications","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/A5100529436","display_name":"Tan Linglong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156464","display_name":"Anhui Xinhua University","ror":"https://ror.org/053d7x641","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156464"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tan Linglong","raw_affiliation_strings":["Electronic communication engineering college, Anhui Xinhua University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Electronic communication engineering college, Anhui Xinhua University, Hefei, China","institution_ids":["https://openalex.org/I4210156464"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Yehui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156464","display_name":"Anhui Xinhua University","ror":"https://ror.org/053d7x641","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156464"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yehui","raw_affiliation_strings":["Electronic communication engineering college, Anhui Xinhua University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Electronic communication engineering college, Anhui Xinhua University, Hefei, China","institution_ids":["https://openalex.org/I4210156464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011112564","display_name":"Changkai Li","orcid":"https://orcid.org/0000-0002-0012-8798"},"institutions":[{"id":"https://openalex.org/I4210156464","display_name":"Anhui Xinhua University","ror":"https://ror.org/053d7x641","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156464"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Changkai","raw_affiliation_strings":["Electronic communication engineering college, Anhui Xinhua University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Electronic communication engineering college, Anhui Xinhua University, Hefei, China","institution_ids":["https://openalex.org/I4210156464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100529436"],"corresponding_institution_ids":["https://openalex.org/I4210156464"],"apc_list":null,"apc_paid":null,"fwci":0.4245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63256338,"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":"178","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9746999740600586,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9573000073432922,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7214518189430237},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6899983882904053},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6183769702911377},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5571637153625488},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5518989562988281},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.542608380317688},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.5084928274154663},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4712018668651581},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4340142607688904},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43379220366477966},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.42897987365722656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41628116369247437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37151867151260376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2512913942337036}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7214518189430237},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6899983882904053},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6183769702911377},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5571637153625488},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5518989562988281},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.542608380317688},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.5084928274154663},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4712018668651581},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4340142607688904},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43379220366477966},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.42897987365722656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41628116369247437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37151867151260376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2512913942337036},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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:10.1145/3185089.3185139","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3185089.3185139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 7th International Conference on Software and Computer Applications","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":15,"referenced_works":["https://openalex.org/W812518899","https://openalex.org/W1911778796","https://openalex.org/W1996202729","https://openalex.org/W2030693839","https://openalex.org/W2061843755","https://openalex.org/W2073134030","https://openalex.org/W2080238410","https://openalex.org/W2119191766","https://openalex.org/W2134451879","https://openalex.org/W2194777439","https://openalex.org/W2203649114","https://openalex.org/W2240123536","https://openalex.org/W2298582799","https://openalex.org/W2320602699","https://openalex.org/W2951873764"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2132113279","https://openalex.org/W2113224065","https://openalex.org/W2368795850"],"abstract_inverted_index":{"Fuzzy":[0],"C-Means":[1],"clustering,":[2],"FCM,":[3,141],"is":[4,11,27,31,46,58,67],"an":[5],"unsupervised":[6],"learning":[7],"algorithm.":[8],"The":[9],"algorithm":[10,30,45,53,103,131],"easily":[12],"affected":[13],"by":[14],"noise":[15],"points":[16],"and":[17,48,64,146,149],"depends":[18],"on":[19,76,135],"the":[20,24,29,41,49,61,77,86,98,101,107,112,117,133,136],"initial":[21,137],"values.":[22],"When":[23],"sample":[25],"value":[26,89],"large,":[28],"easy":[32],"to":[33,60,116,123],"fall":[34],"into":[35],"local":[36,124],"extremum.":[37,125],"In":[38],"this":[39,130],"study,":[40],"traditional":[42],"fuzzy":[43],"clustering":[44,138],"improved,":[47],"particle":[50,96,99],"swarm":[51],"optimization":[52,56],"with":[54],"global":[55,79,118],"ability":[57],"applied":[59],"FCM":[62],"algorithm,":[63],"chaotic":[65,73,83],"technology":[66],"added.":[68],"Chaotic":[69],"variables":[70],"produce":[71],"a":[72,95],"sequence":[74,84],"based":[75],"current":[78],"optimal":[80,119],"position,":[81],"using":[82],"has":[85,150],"best":[87],"fitness":[88],"of":[90,94,97,109,140],"particles":[91,110],"randomly":[92],"instead":[93],"swarm,":[100],"improved":[102],"can":[104],"effectively":[105],"avoid":[106,121],"stagnation":[108],"in":[111],"iteration,":[113],"fast":[114],"search":[115],"solution,":[120],"convergence":[122,153],"Experimental":[126],"results":[127],"indicate":[128],"that":[129],"overcomes":[132],"dependence":[134],"centre":[139],"which":[142],"brings":[143],"high":[144],"robustness":[145],"segmentation":[147],"accuracy,":[148],"more":[151],"faster":[152],"speed.":[154]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}