{"id":"https://openalex.org/W2999830861","doi":"https://doi.org/10.3233/jifs-179587","title":"Gray image segmentation based on fuzzy c-means and artificial bee colony optimization","display_name":"Gray image segmentation based on fuzzy c-means and artificial bee colony optimization","publication_year":2020,"publication_date":"2020-01-05","ids":{"openalex":"https://openalex.org/W2999830861","doi":"https://doi.org/10.3233/jifs-179587","mag":"2999830861"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179587","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179587","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5019573915","display_name":"Hui Zhi","orcid":"https://orcid.org/0000-0001-7138-5831"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Zhi","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an, China","School of Mathematics and Statistics, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045137489","display_name":"Sanyang Liu","orcid":"https://orcid.org/0000-0002-3625-3398"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanyang Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an, China","School of Mathematics and Statistics, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019573915"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.043,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81526891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"38","issue":"4","first_page":"3647","last_page":"3655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9510999917984009,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9169999957084656,"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/image-segmentation","display_name":"Image segmentation","score":0.6643255352973938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.641496479511261},{"id":"https://openalex.org/keywords/artificial-bee-colony-algorithm","display_name":"Artificial bee colony algorithm","score":0.6327642798423767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5733140110969543},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5609785318374634},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5593196749687195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5376516580581665},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5175303816795349},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5103117823600769},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.4636671841144562},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4426212012767792}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6643255352973938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.641496479511261},{"id":"https://openalex.org/C97133563","wikidata":"https://www.wikidata.org/wiki/Q4801057","display_name":"Artificial bee colony algorithm","level":2,"score":0.6327642798423767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5733140110969543},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5609785318374634},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5593196749687195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5376516580581665},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5175303816795349},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5103117823600769},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.4636671841144562},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4426212012767792}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179587","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179587","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1997456456","https://openalex.org/W2343905117","https://openalex.org/W2361026493","https://openalex.org/W2417680051","https://openalex.org/W2548127043","https://openalex.org/W2554666250","https://openalex.org/W2563558728","https://openalex.org/W2588687305","https://openalex.org/W2592972714","https://openalex.org/W2735427488","https://openalex.org/W2739608398","https://openalex.org/W2747222428","https://openalex.org/W2754840697","https://openalex.org/W2762456535","https://openalex.org/W2765496437","https://openalex.org/W2773963615","https://openalex.org/W2791309946","https://openalex.org/W2792042825","https://openalex.org/W2792745857","https://openalex.org/W2794134060","https://openalex.org/W2796603513","https://openalex.org/W2806568376"],"related_works":["https://openalex.org/W2551987074","https://openalex.org/W2394279717","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2353364291","https://openalex.org/W2531745538","https://openalex.org/W2372421320","https://openalex.org/W2359699469","https://openalex.org/W2386644571","https://openalex.org/W2364730859"],"abstract_inverted_index":{"The":[0,29,48,129,177],"regions":[1],"obtained":[2],"by":[3],"image":[4,24,32,73,123,213],"segmentation":[5,17,33,74,124,188,214],"need":[6],"to":[7,55,150,168],"satisfy":[8],"both":[9],"the":[10,19,40,45,97,102,106,111,146,151,156,172,182,187,207],"requirements":[11],"of":[12,21,31,37,44,101,212],"uniformity":[13],"and":[14,126,136,160,170,186,199,210],"connectivity.":[15],"Image":[16],"is":[18,34,85,134,142],"process":[20],"dividing":[22],"an":[23,51,137],"into":[25],"several":[26],"specific":[27],"regions.":[28],"result":[30],"a":[35,71],"set":[36],"combinations":[38],"covering":[39],"main":[41],"feature":[42,200],"areas":[43],"whole":[46],"image.":[47],"pixels":[49],"in":[50,110,202],"area":[52],"are":[53,62,166,179,190,215],"similar":[54],"some":[56],"or":[57],"calculated":[58],"characteristics,":[59],"but":[60],"there":[61],"obvious":[63],"differences":[64],"between":[65],"adjacent":[66],"areas.":[67],"In":[68],"this":[69],"paper,":[70],"gray":[72],"algorithm":[75,84,116,133,141,165],"based":[76],"on":[77],"fuzzy":[78,98,103,158],"C-means":[79,104,159],"combined":[80],"with":[81],"bee":[82,113,130,147,162],"colony":[83,114,131,148,163],"proposed,":[86],"which":[87],"has":[88],"strong":[89],"optimization":[90,115,164,184],"ability":[91],"for":[92],"multi-objective":[93,183],"problems.":[94],"By":[95],"using":[96],"membership":[99],"function":[100],"algorithm,":[105],"optimal":[107,152],"clustering":[108],"centers":[109],"artificial":[112,161],"can":[117],"be":[118],"quickly":[119],"calculated.":[120],"It":[121],"makes":[122,145,206],"faster":[125],"more":[127],"accurate.":[128],"search":[132,140,197],"optimized":[135],"effective":[138],"local":[139,196],"designed,":[143],"it":[144,205],"converge":[149],"solution":[153],"efficiently.":[154],"Finally,":[155],"improved":[157],"used":[167],"improve":[169],"optimize":[171],"seed":[173],"region":[174],"growth":[175],"method.":[176],"multi-criteria":[178],"taken":[180],"as":[181],"problem,":[185],"results":[189],"finally":[191],"obtained.":[192],"Benefiting":[193],"from":[194],"our":[195],"program":[198],"extraction":[201],"multi-color":[203],"space,":[204],"stability;":[208],"efficiency":[209],"accuracy":[211],"higher.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}