{"id":"https://openalex.org/W2089377130","doi":"https://doi.org/10.1109/icct.2013.6820450","title":"Perception-based color space for image segmentation application","display_name":"Perception-based color space for image segmentation application","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2089377130","doi":"https://doi.org/10.1109/icct.2013.6820450","mag":"2089377130"},"language":"en","primary_location":{"id":"doi:10.1109/icct.2013.6820450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct.2013.6820450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 15th IEEE International Conference on Communication Technology","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/A5104096059","display_name":"Mai Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mai Jiang","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101518752","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-6509-4699"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385987","display_name":"Xiaoling Zhang","orcid":"https://orcid.org/0000-0002-7953-3787"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, 110016 China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104096059"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12292548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"35","issue":null,"first_page":"625","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9941999912261963,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9764999747276306,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.8533634543418884},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.748481035232544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.726129412651062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6545230150222778},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.6312484741210938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811389684677124},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.559374213218689},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.5157487988471985},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5114468336105347},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4970746338367462},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.45043492317199707},{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.4477623701095581},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43736886978149414},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.4120074510574341},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39343011379241943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35684800148010254},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3244042992591858},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27306297421455383}],"concepts":[{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.8533634543418884},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.748481035232544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.726129412651062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6545230150222778},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.6312484741210938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811389684677124},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.559374213218689},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.5157487988471985},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5114468336105347},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4970746338367462},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.45043492317199707},{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.4477623701095581},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43736886978149414},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.4120074510574341},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39343011379241943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35684800148010254},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3244042992591858},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27306297421455383},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct.2013.6820450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct.2013.6820450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 15th IEEE International Conference on Communication Technology","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":9,"referenced_works":["https://openalex.org/W1998366331","https://openalex.org/W2009973781","https://openalex.org/W2027176649","https://openalex.org/W2100001370","https://openalex.org/W2332596718","https://openalex.org/W2335439447","https://openalex.org/W2351975885","https://openalex.org/W2352623835","https://openalex.org/W2353252672"],"related_works":["https://openalex.org/W2734928352","https://openalex.org/W1964628873","https://openalex.org/W1516843231","https://openalex.org/W2349299344","https://openalex.org/W1964959214","https://openalex.org/W1981206111","https://openalex.org/W2108635573","https://openalex.org/W2094705558","https://openalex.org/W1520063650","https://openalex.org/W4302233118"],"abstract_inverted_index":{"After":[0,81],"analyzing":[1],"the":[2,10,48,69,77,84,88,95,110],"deficiency":[3],"of":[4,14,94,99],"existing":[5],"perception-based":[6],"image":[7,62,111],"processing":[8],"problems,":[9],"most":[11],"important":[12],"properties":[13],"color":[15,45,50,55,86,92],"spaces":[16],"are":[17],"identified":[18],"without":[19],"cross":[20,100],"contamination":[21,101],"between":[22],"lightness,":[23],"saturation,":[24],"hue":[25],"and":[26,36,76,102],"with":[27,83,103],"maximum":[28,104],"perceptual":[29,105],"uniformity.":[30],"This":[31],"paper":[32],"using":[33,64],"multi-grid":[34],"optimization":[35],"standard":[37],"color-difference":[38],"formulas":[39],"transformed":[40],"images":[41],"from":[42],"an":[43],"initial":[44,78],"space":[46,56,97],"to":[47,67],"new":[49,53,96],"space.":[51],"The":[52],"working":[54],"performance":[57],"ability":[58],"is":[59],"tested":[60],"in":[61],"segmentation,":[63],"ISODATA":[65],"algorithm":[66],"get":[68],"k-means":[70],"clustering":[71],"algorithms":[72],"best":[73],"cluster":[74,79],"number":[75],"center.":[80],"comparing":[82],"exiting":[85],"spaces,":[87],"experiment":[89],"results":[90],"showed":[91],"attributes":[93],"free":[98],"uniformity":[106],"which":[107],"can":[108],"improve":[109],"segmentation":[112],"algorithms'":[113],"accuracy.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}