{"id":"https://openalex.org/W4210522044","doi":"https://doi.org/10.1142/s0218126622501237","title":"Color Image Segmentation by Utilizing Coarse-to-Fine Strategy","display_name":"Color Image Segmentation by Utilizing Coarse-to-Fine Strategy","publication_year":2022,"publication_date":"2022-01-31","ids":{"openalex":"https://openalex.org/W4210522044","doi":"https://doi.org/10.1142/s0218126622501237"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126622501237","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622501237","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5042626664","display_name":"Yingxia Chen","orcid":"https://orcid.org/0000-0002-2358-9191"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxia Chen","raw_affiliation_strings":["School of Computer Science, Yangtze University, Jingzhou 434023, Hubei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou 434023, Hubei, P. R. China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069796663","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0002-9950-684X"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["School of Computer Science, Yangtze University, Jingzhou 434023, Hubei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou 434023, Hubei, P. R. China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085039152","display_name":"Shanji Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanji Yi","raw_affiliation_strings":["School of Computer Science, Yangtze University, Jingzhou 434023, Hubei, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou 434023, Hubei, P. R. China","institution_ids":["https://openalex.org/I177739611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052730043","display_name":"Kun Cao","orcid":"https://orcid.org/0000-0003-4872-4908"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Cao","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, Guangzhou 510632, Guangdong, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, Guangzhou 510632, Guangdong, P. R. China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0979,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3199103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987000226974487,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7059812545776367},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.6416870355606079},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6319751739501953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287257671356201},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5997892022132874},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5685767531394958},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.5315753221511841},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5132482051849365},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5107965469360352},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4920610785484314},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4827229678630829},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4664905071258545},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4553263187408447},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.4520159363746643},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43548837304115295},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4126092195510864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17796820402145386}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7059812545776367},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.6416870355606079},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6319751739501953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287257671356201},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5997892022132874},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5685767531394958},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.5315753221511841},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5132482051849365},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5107965469360352},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4920610785484314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4827229678630829},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4664905071258545},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4553263187408447},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.4520159363746643},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43548837304115295},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4126092195510864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17796820402145386},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126622501237","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622501237","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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":30,"referenced_works":["https://openalex.org/W1996914296","https://openalex.org/W1999478155","https://openalex.org/W2000023897","https://openalex.org/W2015731098","https://openalex.org/W2026289309","https://openalex.org/W2034110104","https://openalex.org/W2034887891","https://openalex.org/W2036576620","https://openalex.org/W2046382188","https://openalex.org/W2057463094","https://openalex.org/W2067191022","https://openalex.org/W2068294844","https://openalex.org/W2071469153","https://openalex.org/W2074986456","https://openalex.org/W2080668963","https://openalex.org/W2095459396","https://openalex.org/W2100836571","https://openalex.org/W2101744728","https://openalex.org/W2110158442","https://openalex.org/W2116040950","https://openalex.org/W2125186487","https://openalex.org/W2130524297","https://openalex.org/W2143015120","https://openalex.org/W2143516773","https://openalex.org/W2154977815","https://openalex.org/W2157082243","https://openalex.org/W2163155631","https://openalex.org/W2395611524","https://openalex.org/W2499316477","https://openalex.org/W2890210062"],"related_works":["https://openalex.org/W2551987074","https://openalex.org/W2394279717","https://openalex.org/W2366050026","https://openalex.org/W3155984174","https://openalex.org/W2553765490","https://openalex.org/W2946366565","https://openalex.org/W2359699469","https://openalex.org/W1538372232","https://openalex.org/W2116318757","https://openalex.org/W2079491814"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,33],"is":[2,8,42,54,89,103,122,174],"an":[3,45],"important":[4],"processing":[5],"technology,":[6],"which":[7],"the":[9,51,63,68,93,107,110,116,126,130,136,157,167],"basis":[10],"of":[11,109,115,163],"image":[12,32,37,46,53],"recognition":[13],"and":[14,80,149,166],"has":[15],"been":[16],"widely":[17],"used":[18,138],"in":[19,129,139],"many":[20],"fields.":[21],"In":[22,113],"this":[23],"paper,":[24],"we":[25],"propose":[26],"a":[27,74,81,99,120,161],"method,":[28,85],"termed":[29],"coarse-to-fine":[30],"strategy-based":[31],"(CSIS),":[34],"for":[35],"color":[36,145],"segmentation.":[38],"The":[39],"basic":[40],"idea":[41],"to":[43,73,91,105,124,160],"segment":[44,144],"by":[47,61,155],"three":[48],"phases:":[49],"(1)":[50],"original":[52],"first":[55],"segmented":[56,69,111],"into":[57,95],"several":[58],"distinct":[59],"regions":[60,70],"using":[62],"mean":[64],"shift":[65],"method;":[66],"(2)":[67],"are":[71,153],"converted":[72],"weighted":[75],"region":[76],"adjacency":[77],"graph":[78,83],"(RAG),":[79],"new":[82],"cut":[84],"called":[86],"multi-cut":[87],"algorithm,":[88],"proposed":[90,158],"partition":[92],"RAG":[94],"multiple":[96],"regions;":[97],"(3)":[98],"one-step":[100],"Chan\u2013Vese":[101],"algorithm":[102],"applied":[104,123],"smooth":[106],"boundaries":[108],"objectives.":[112],"each":[114,140],"last":[117],"two":[118],"phases,":[119],"method":[121,159],"refine":[125],"result":[127],"obtained":[128],"previous":[131],"phase.":[132],"By":[133],"carefully":[134],"balancing":[135],"efforts":[137],"phase,":[141],"CSIS":[142],"could":[143],"images":[146],"both":[147],"efficiently":[148],"effectively.":[150],"These":[151],"advantages":[152],"demonstrated":[154],"applying":[156],"variety":[162],"test":[164],"instances,":[165],"statistical":[168],"results":[169],"also":[170],"show":[171],"that":[172],"it":[173],"comparable":[175],"with":[176],"some":[177],"state-of-the-art":[178],"methods.":[179]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}