{"id":"https://openalex.org/W2055194006","doi":"https://doi.org/10.1109/icmlc.2010.5580556","title":"A new method for color image segmentation based on FSVM","display_name":"A new method for color image segmentation based on FSVM","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2055194006","doi":"https://doi.org/10.1109/icmlc.2010.5580556","mag":"2055194006"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100385652","display_name":"Lei Li","orcid":"https://orcid.org/0000-0001-7085-8262"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China#TAB#","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017861049","display_name":"Jinyan Li","orcid":"https://orcid.org/0000-0003-1833-7413"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-Yan Li","raw_affiliation_strings":["School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China#TAB#","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020999483","display_name":"Wen-Yan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Yan Ding","raw_affiliation_strings":["School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China#TAB#","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7800848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"7?1681?03","issue":null,"first_page":"664","last_page":"668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9934999942779541,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9934999942779541,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9918000102043152,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8236585855484009},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7470085024833679},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6996551752090454},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6523099541664124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6516380310058594},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6475856304168701},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.6384750008583069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374889016151428},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6146888136863708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6035081148147583},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5971569418907166},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.582536518573761},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.5238561630249023},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5049002766609192},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.474791944026947},{"id":"https://openalex.org/keywords/monochrome","display_name":"Monochrome","score":0.4253721237182617},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35352498292922974},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31461313366889954}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8236585855484009},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7470085024833679},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6996551752090454},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6523099541664124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6516380310058594},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6475856304168701},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.6384750008583069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374889016151428},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6146888136863708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6035081148147583},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5971569418907166},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.582536518573761},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.5238561630249023},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5049002766609192},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.474791944026947},{"id":"https://openalex.org/C2776754580","wikidata":"https://www.wikidata.org/wiki/Q10770146","display_name":"Monochrome","level":2,"score":0.4253721237182617},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35352498292922974},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31461313366889954}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1972544340","https://openalex.org/W2007821820","https://openalex.org/W2033849769","https://openalex.org/W2034561864","https://openalex.org/W2082917807","https://openalex.org/W2101335668","https://openalex.org/W2136704614","https://openalex.org/W2144396081","https://openalex.org/W2153635508","https://openalex.org/W2388728634","https://openalex.org/W3120421331","https://openalex.org/W6675474142","https://openalex.org/W6681034063","https://openalex.org/W6711153142"],"related_works":["https://openalex.org/W2890546132","https://openalex.org/W2366050026","https://openalex.org/W2394279717","https://openalex.org/W2551987074","https://openalex.org/W2359699469","https://openalex.org/W4281943322","https://openalex.org/W2992988357","https://openalex.org/W2353364291","https://openalex.org/W2531745538","https://openalex.org/W2946366565"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,19,25,51,76],"is":[2,14],"very":[3],"essential":[4],"and":[5,10,69],"critical":[6],"to":[7],"image":[8,18,50,75],"processing":[9],"pattern":[11],"recognition.":[12],"It":[13],"known":[15],"that,":[16],"color":[17,30,49,56,74],"approaches":[20,26],"are":[21],"based":[22],"on":[23,73],"monochrome":[24],"operating":[27],"in":[28,33,52],"different":[29],"spaces.":[31],"So":[32],"this":[34],"paper,":[35],"an":[36],"improved":[37],"method":[38],"which":[39],"uses":[40],"the":[41,53,63],"FSVM":[42],"(fuzzy":[43],"support":[44],"vector":[45],"machines)":[46],"algorithm":[47,65],"for":[48],"HSI":[54],"(hue-saturation-intensity)":[55],"space":[57],"was":[58],"proposed.":[59],"Experiments":[60],"show":[61],"that":[62],"proposed":[64],"has":[66],"better":[67],"effect":[68],"lower":[70],"computational":[71],"complexity":[72],"than":[77],"other":[78],"method.":[79]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
