{"id":"https://openalex.org/W2549387022","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737844","title":"Multi-value image segmentation based on FCM algorithm and Graph Cut Theory","display_name":"Multi-value image segmentation based on FCM algorithm and Graph Cut Theory","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2549387022","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737844","mag":"2549387022"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2016.7737844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5032500191","display_name":"Mengting Xu","orcid":"https://orcid.org/0000-0002-7129-3942"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengting Xu","raw_affiliation_strings":["State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102741318","display_name":"Min Guo","orcid":"https://orcid.org/0000-0001-6453-7892"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Guo","raw_affiliation_strings":["State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063402368","display_name":"Lin Shang","orcid":"https://orcid.org/0000-0003-1356-1942"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Shang","raw_affiliation_strings":["State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072069474","display_name":"Xiuyi Jia","orcid":"https://orcid.org/0000-0002-9879-9855"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuyi Jia","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032500191"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.002,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83556816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1333","last_page":"1340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9908999800682068,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.989300012588501,"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":0.7298130393028259},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.697020947933197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6672002077102661},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6548179388046265},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.6186285614967346},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.6086924076080322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5824451446533203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5600230693817139},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5533563494682312},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5526559352874756},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.501345157623291},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4914311170578003},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.4866696000099182},{"id":"https://openalex.org/keywords/connected-component-labeling","display_name":"Connected-component labeling","score":0.46411922574043274},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.46173322200775146},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4133642911911011},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39115744829177856},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3731148838996887},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2685467302799225},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22115680575370789}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7298130393028259},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.697020947933197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6672002077102661},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6548179388046265},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.6186285614967346},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.6086924076080322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5824451446533203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5600230693817139},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5533563494682312},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5526559352874756},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.501345157623291},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4914311170578003},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.4866696000099182},{"id":"https://openalex.org/C58737948","wikidata":"https://www.wikidata.org/wiki/Q3136397","display_name":"Connected-component labeling","level":5,"score":0.46411922574043274},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.46173322200775146},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4133642911911011},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39115744829177856},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3731148838996887},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2685467302799225},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22115680575370789}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2016.7737844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W1566844497","https://openalex.org/W1964119857","https://openalex.org/W1988176091","https://openalex.org/W1989565687","https://openalex.org/W1990368529","https://openalex.org/W1991113069","https://openalex.org/W2014149704","https://openalex.org/W2054297141","https://openalex.org/W2054451916","https://openalex.org/W2108843657","https://openalex.org/W2112556758","https://openalex.org/W2113076747","https://openalex.org/W2113137767","https://openalex.org/W2115242586","https://openalex.org/W2121189958","https://openalex.org/W2121927366","https://openalex.org/W2126140058","https://openalex.org/W2126911940","https://openalex.org/W2141729166","https://openalex.org/W2294738414","https://openalex.org/W2352928128","https://openalex.org/W2374506950","https://openalex.org/W6641093950"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2551987074","https://openalex.org/W1998145955","https://openalex.org/W2088651901","https://openalex.org/W2079491814","https://openalex.org/W2750017896","https://openalex.org/W2136126332","https://openalex.org/W2508019594","https://openalex.org/W4308936289","https://openalex.org/W2103507220"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,120,155,171],"is":[2,144],"an":[3,43],"important":[4],"issue":[5],"in":[6],"computer":[7],"vision.":[8],"The":[9,138],"methods":[10],"based":[11],"on":[12,89],"Fuzzy":[13,48],"C-Means":[14,49],"(FCM)":[15],"algorithms":[16],"have":[17],"gained":[18],"success.":[19],"However,":[20],"these":[21,38],"approaches":[22],"deal":[23],"with":[24,174],"each":[25],"pixel":[26],"as":[27],"a":[28,104,128,146],"separate":[29],"object,":[30],"which":[31,45],"will":[32],"ignore":[33],"the":[34,47,64,69,86,98,114,118,123,133,152,159],"spatial":[35],"information":[36],"among":[37],"pixels.":[39],"This":[40],"paper":[41],"proposes":[42],"approach":[44,143,167],"combines":[46],"algorithm":[50,66,111],"and":[51,58,80,107,150,181],"Graph":[52],"Cut":[53],"Theory":[54],"both":[55],"for":[56,78],"gray":[57],"color":[59,70,82,90],"image":[60,71,136],"segmentation.":[61,137,161,183],"We":[62],"adopt":[63],"Turbopixel":[65],"to":[67,96,112,131,157],"split":[68],"into":[72],"varied":[73],"small":[74],"regions":[75],"called":[76],"superpixels":[77],"presegmentation":[79],"extract":[81],"histogram":[83,91],"features":[84],"from":[85],"superpixels.":[87],"Based":[88],"feature,":[92],"we":[93,102,126],"use":[94,108,127],"FCM":[95,175],"make":[97],"original":[99],"clusters.":[100],"Then":[101],"build":[103],"graph":[105],"model,":[106],"maximum":[109],"flow":[110],"get":[113],"minimum":[115],"cut,":[116],"namely":[117],"initial":[119],"result":[121,134],"of":[122,135,141],"image.":[124],"Finally,":[125],"recursive":[129],"process":[130],"achieve":[132],"key":[139],"point":[140],"our":[142,166],"building":[145],"great":[147],"graphical":[148],"model":[149,156],"utilizing":[151],"existing":[153],"binary":[154,182],"solve":[158],"multi-value":[160],"Experimental":[162],"results":[163,172],"show":[164],"that":[165],"can":[168],"obtain":[169],"good":[170],"comparing":[173],"only":[176],"under":[177],"different":[178],"parameters":[179],"setup":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
