{"id":"https://openalex.org/W2085998596","doi":"https://doi.org/10.1109/icinfa.2014.6932698","title":"Neighborhood weight fuzzy c-means kernel clustering based infrared image segmentation","display_name":"Neighborhood weight fuzzy c-means kernel clustering based infrared image segmentation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2085998596","doi":"https://doi.org/10.1109/icinfa.2014.6932698","mag":"2085998596"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2014.6932698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2014.6932698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Information and Automation (ICIA)","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/A5100412411","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0001-9743-7847"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu Gang","raw_affiliation_strings":["Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102974574","display_name":"Chunlei Yang","orcid":"https://orcid.org/0000-0001-9709-3650"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chunlei","raw_affiliation_strings":["Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang Qianqian","orcid":null},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Qianqian","raw_affiliation_strings":["Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100456041","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0002-7295-4837"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Dan","raw_affiliation_strings":["Department of Foreign Language, Henan University of Science and Technology, Luoyang, Henan Province, China","Department of Foreign Language, Henan University of Science and Technology Luoyang, Henan Province, China"],"affiliations":[{"raw_affiliation_string":"Department of Foreign Language, Henan University of Science and Technology, Luoyang, Henan Province, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Department of Foreign Language, Henan University of Science and Technology Luoyang, Henan Province, China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100412411"],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12463856,"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":"451","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9742000102996826,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6798955798149109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6765201091766357},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6387457251548767},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6344130039215088},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5690550804138184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5414116978645325},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.4906441271305084},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.47698312997817993},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.46660515666007996},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43287771940231323},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4319643974304199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3449658155441284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34255608916282654},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3169175684452057},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.30474480986595154},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.274120956659317},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08833378553390503},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0629870593547821},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.060510724782943726}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6798955798149109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765201091766357},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6387457251548767},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6344130039215088},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5690550804138184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5414116978645325},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.4906441271305084},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.47698312997817993},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.46660515666007996},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43287771940231323},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4319643974304199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3449658155441284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34255608916282654},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3169175684452057},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.30474480986595154},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.274120956659317},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08833378553390503},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0629870593547821},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.060510724782943726},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2014.6932698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2014.6932698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1973880112","https://openalex.org/W2030699789","https://openalex.org/W2045069625","https://openalex.org/W2111146558","https://openalex.org/W2113076747","https://openalex.org/W2121449890","https://openalex.org/W2121472241","https://openalex.org/W2349672377","https://openalex.org/W2362762027","https://openalex.org/W2762730494","https://openalex.org/W3154672909","https://openalex.org/W6745125440"],"related_works":["https://openalex.org/W2140869420","https://openalex.org/W4221107122","https://openalex.org/W4375846106","https://openalex.org/W2098028537","https://openalex.org/W2366185040","https://openalex.org/W4311472972","https://openalex.org/W4306800962","https://openalex.org/W2353199197","https://openalex.org/W2382704364","https://openalex.org/W2558026684"],"abstract_inverted_index":{"Aiming":[0],"for":[1,10],"the":[2,20,29,35,40,49,55,59,64,81,90,96],"feature":[3],"of":[4],"low":[5],"resolution":[6],"and":[7,93],"faint":[8],"contrast":[9],"infrared":[11,97],"image,":[12],"a":[13,45,70],"segmentation":[14],"algorithm":[15],"is":[16,42,74,87,100],"presented":[17],"based":[18],"on":[19],"neighborhood":[21],"weight":[22,57],"fuzzy":[23],"c-means":[24],"kernel":[25,31],"clustering.":[26],"By":[27],"using":[28],"Gaussian":[30],"in":[32,39],"target":[33],"function,":[34],"traditional":[36],"euclidean":[37],"distance":[38],"FCM":[41],"replaced":[43],"by":[44,62,84,102],"kernel-induced":[46],"distance.":[47],"At":[48],"same":[50],"time,":[51],"this":[52,68,85],"method":[53,82],"computes":[54],"sample":[56],"during":[58],"clustering":[60],"procedure":[61],"considering":[63],"pixel's":[65],"neighborhood.":[66],"On":[67],"basis,":[69],"new":[71],"iteration":[72],"formula":[73],"deduced.":[75],"The":[76],"experimental":[77],"results":[78],"show":[79],"that":[80],"given":[83],"paper,":[86],"better":[88],"than":[89],"standard":[91],"algorithm,":[92],"can":[94],"segment":[95],"image":[98],"which":[99],"polluted":[101],"noise":[103],"effectively.":[104]},"counts_by_year":[{"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"}
