{"id":"https://openalex.org/W3091686511","doi":"https://doi.org/10.1002/ima.22491","title":"Novel local information kernelized fuzzy C \u2010means algorithm for image segmentation","display_name":"Novel local information kernelized fuzzy C \u2010means algorithm for image segmentation","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3091686511","doi":"https://doi.org/10.1002/ima.22491","mag":"3091686511"},"language":"en","primary_location":{"id":"doi:10.1002/ima.22491","doi":"https://doi.org/10.1002/ima.22491","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.22491","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3091686511"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5069578464","display_name":"Songcheng Li","orcid":"https://orcid.org/0000-0003-4857-0208","observed_orcids":["https://orcid.org/0000-0003-4857-0208"]},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songcheng Li","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China"],"raw_orcid":"https://orcid.org/0000-0003-4857-0208","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108279345","display_name":"Junyong Lu","orcid":"https://orcid.org/0009-0000-3261-8997","observed_orcids":["https://orcid.org/0009-0000-3261-8997"]},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyong Lu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087141784","display_name":"Long Di Cheng","orcid":"https://orcid.org/0000-0002-8656-7838","observed_orcids":["https://orcid.org/0000-0002-8656-7838","https://orcid.org/0009-0005-1196-2410"]},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Cheng","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765574","display_name":"Li Xiangping","orcid":"https://orcid.org/0000-0001-5546-6287","observed_orcids":["https://orcid.org/0000-0001-5546-6287"]},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangping Li","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108279345"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"31","issue":"2","first_page":"786","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"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":0.0020000000949949026,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.0,"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-c-means-clustering","display_name":"fuzzy c-means clustering","score":0.7770000100135803},{"id":"https://openalex.org/keywords/mri-segmentation","display_name":"MRI segmentation","score":0.8240000009536743},{"id":"https://openalex.org/keywords/dissimilarity-measures","display_name":"dissimilarity measures","score":0.8939999938011169},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.9750000238418579},{"id":"https://openalex.org/keywords/outlier-removal","display_name":"outlier removal","score":0.8450000286102295},{"id":"https://openalex.org/keywords/noise-estimation","display_name":"noise estimation","score":0.8769999742507935},{"id":"https://openalex.org/keywords/edge-preservation","display_name":"edge preservation","score":0.6840000152587891},{"id":"https://openalex.org/keywords/texture-preservation","display_name":"texture preservation","score":0.5709999799728394},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.5429999828338623}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6390730738639832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6166813373565674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043850183486938},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5285847187042236},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5036067366600037},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5029937624931335},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4880434572696686},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.47124630212783813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43082985281944275},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4292597472667694},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42349690198898315},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4145761728286743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26173025369644165},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/ima.22491","doi":"https://doi.org/10.1002/ima.22491","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.22491","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1204633725","display_name":null,"funder_award_id":"51925704","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2819137426","display_name":null,"funder_award_id":"51607187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5595704786","display_name":null,"funder_award_id":"51907203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6410583648","display_name":null,"funder_award_id":"51877214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W342041252","https://openalex.org/W1957343200","https://openalex.org/W1973880112","https://openalex.org/W1987098293","https://openalex.org/W1987801991","https://openalex.org/W1989021088","https://openalex.org/W1992147426","https://openalex.org/W2001437891","https://openalex.org/W2005868182","https://openalex.org/W2052060684","https://openalex.org/W2054066520","https://openalex.org/W2058915639","https://openalex.org/W2070771945","https://openalex.org/W2081749411","https://openalex.org/W2081764024","https://openalex.org/W2108859253","https://openalex.org/W2115242586","https://openalex.org/W2115628058","https://openalex.org/W2120688485","https://openalex.org/W2127218421","https://openalex.org/W2137206388","https://openalex.org/W2142299700","https://openalex.org/W2143416511","https://openalex.org/W2149825794","https://openalex.org/W2165012164","https://openalex.org/W2197528307","https://openalex.org/W2500950687","https://openalex.org/W2524496318","https://openalex.org/W2550059576","https://openalex.org/W2908139857","https://openalex.org/W2909065902","https://openalex.org/W2965097833","https://openalex.org/W2978744916","https://openalex.org/W3179326041","https://openalex.org/W4233323564","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W2070813603","https://openalex.org/W2058915639","https://openalex.org/W423125776","https://openalex.org/W7116862787","https://openalex.org/W2901705472","https://openalex.org/W7100371570","https://openalex.org/W1967584880","https://openalex.org/W2353105569","https://openalex.org/W2027499598","https://openalex.org/W4416135218"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"MRI,":[2],"the":[3,9,22,26,81,99,120,138,145,148,180,193,218,222],"image":[4,10,68],"with":[5,11,116,165],"poor":[6],"quality,":[7],"especially":[8],"noise":[12,128,214],"interference":[13],"or":[14],"low":[15],"contrast,":[16],"may":[17],"provide":[18],"insufficient":[19],"data":[20],"for":[21,67],"visual":[23],"interpretation":[24],"of":[25,147,168,182,221],"affected":[27],"part.":[28],"Image":[29],"segmentation":[30,112],"provides":[31],"an":[32,75],"effective":[33],"method":[34],"to":[35,178,213],"facilitate":[36],"early":[37],"detection":[38],"and":[39,51,84,109,136,153,162,173,186,201],"further":[40],"diagnosis.":[41],"By":[42,93],"introducing":[43],"a":[44,52,59,126],"Particle":[45],"Swarm":[46],"Optimization":[47],"(PSO)":[48],"initialization":[49],"step":[50],"novel":[53],"dissimilarity":[54,71,96],"measure":[55,72,97],"metric,":[56,73,98],"we":[57],"present":[58],"local":[60],"information":[61,106],"kernelized":[62],"fuzzy":[63],"C\u2010means":[64],"(LIKFCM)":[65],"algorithm":[66,101,140,150,185,195,207],"segmentation.":[69],"The":[70,205],"considering":[74],"adaptive":[76,121],"tradeoff":[77,122],"weighted":[78],"factor,":[79],"incorporates":[80],"Mahalanobis":[82],"distance":[83],"outliers\u2010rejection\u2010based":[85],"spatial":[86],"term":[87],"which":[88],"eliminates":[89],"unreliable":[90],"neighboring":[91],"information.":[92],"using":[94],"this":[95],"new":[100],"could":[102],"take":[103],"reliable":[104],"contextual":[105],"into":[107],"account":[108],"achieve":[110],"better":[111,197],"results":[113,190],"on":[114,125,159,199],"images":[115,161,164],"complexed":[117],"boundaries.":[118],"Furthermore,":[119],"factor":[123,132],"depends":[124],"fast":[127],"estimation":[129],"algorithm.":[130],"This":[131],"avoids":[133],"subjective":[134],"adjustment":[135],"makes":[137],"LIKFCM":[139,206],"more":[141,211],"universal.":[142],"To":[143],"evaluate":[144,179],"performance":[146,181,198],"proposed":[149,184,194],"both":[151,158,183],"quantitatively":[152],"qualitatively,":[154],"experiments":[155],"are":[156,176],"conducted":[157],"synthetic":[160],"real\u2010world":[163],"different":[166],"kinds":[167],"noise.":[169],"Segmentation":[170],"Accuracy":[171],"(SA)":[172],"Comparison":[174],"scores":[175],"used":[177],"other":[187],"methods.":[188],"Experimental":[189],"illustrate":[191],"that":[192],"has":[196],"denoising":[200],"reserving":[202],"useful":[203],"edges.":[204],"not":[208],"only":[209],"shows":[210],"robustness":[212],"but":[215],"also":[216],"preserves":[217],"texture":[219],"details":[220],"images.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2020-10-08T00:00:00"}