{"id":"https://openalex.org/W2124602314","doi":"https://doi.org/10.1109/iscsct.2008.53","title":"Hand's Skin Detection Based on Ellipse Clustering","display_name":"Hand's Skin Detection Based on Ellipse Clustering","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2124602314","doi":"https://doi.org/10.1109/iscsct.2008.53","mag":"2124602314"},"language":"en","primary_location":{"id":"doi:10.1109/iscsct.2008.53","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscsct.2008.53","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Symposium on Computer Science and Computational Technology","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/A5020937139","display_name":"Haokui Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao-kui Tang","raw_affiliation_strings":["Information science and engineering College, University of Ji''nan, Jinan, China","Inf. Sci. & Eng. Coll., Univ. of Jinan, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information science and engineering College, University of Ji''nan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"Inf. Sci. & Eng. Coll., Univ. of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008870450","display_name":"Zhiquan Feng","orcid":"https://orcid.org/0000-0002-7704-4197"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-quan Feng","raw_affiliation_strings":["Information science and engineering College, University of Ji''nan, Jinan, China","Inf. Sci. & Eng. Coll., Univ. of Jinan, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information science and engineering College, University of Ji''nan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"Inf. Sci. & Eng. Coll., Univ. of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":1.0427,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.76489077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"758","last_page":"761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection 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"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.993399977684021,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.7744656801223755},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6659280061721802},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6624754071235657},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.6388128399848938},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6283074021339417},{"id":"https://openalex.org/keywords/ycbcr","display_name":"YCbCr","score":0.6162192821502686},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.5808387994766235},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.557131290435791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.54316645860672},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5338849425315857},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5279991626739502},{"id":"https://openalex.org/keywords/skin-color","display_name":"Skin color","score":0.5060705542564392},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.4269493818283081},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4262145459651947},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4131866991519928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3890295922756195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3304250240325928},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19247010350227356}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7744656801223755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6659280061721802},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6624754071235657},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.6388128399848938},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6283074021339417},{"id":"https://openalex.org/C2779407163","wikidata":"https://www.wikidata.org/wiki/Q1189998","display_name":"YCbCr","level":5,"score":0.6162192821502686},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5808387994766235},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.557131290435791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54316645860672},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5338849425315857},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5279991626739502},{"id":"https://openalex.org/C3019497199","wikidata":"https://www.wikidata.org/wiki/Q853516","display_name":"Skin color","level":2,"score":0.5060705542564392},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.4269493818283081},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4262145459651947},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4131866991519928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3890295922756195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3304250240325928},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19247010350227356},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscsct.2008.53","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscsct.2008.53","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 International Symposium on Computer Science and Computational Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W52795554","https://openalex.org/W2013259775","https://openalex.org/W2024091300","https://openalex.org/W2075273792","https://openalex.org/W2106075360","https://openalex.org/W2106309274","https://openalex.org/W2117918572","https://openalex.org/W2140427427","https://openalex.org/W2354586536","https://openalex.org/W2362334717","https://openalex.org/W2365682908","https://openalex.org/W2377349515","https://openalex.org/W2389365743","https://openalex.org/W7030627418","https://openalex.org/W7047902826"],"related_works":["https://openalex.org/W2049527435","https://openalex.org/W2590837400","https://openalex.org/W2064532007","https://openalex.org/W2117507819","https://openalex.org/W2111433705","https://openalex.org/W2043999711","https://openalex.org/W2117238110","https://openalex.org/W2000263650","https://openalex.org/W2184812340","https://openalex.org/W3213230869"],"abstract_inverted_index":{"Skin":[0],"color":[1,9,19,32,37,42,112,130],"model":[2,20,38,113,131,138],"is":[3],"an":[4,83],"important":[5],"method":[6],"in":[7,74],"skin":[8,18,31,36,92,111,117,129],"detection.":[10],"This":[11],"paper":[12],"introduced":[13],"the":[14,35,51,57,67,78,89,116,127,140],"process":[15],"of":[16,50,53,91],"building":[17],"based":[21,70],"on":[22,71],"ellipse":[23],"clustering":[24],"and":[25,44,65,121,145],"detection":[26],"to":[27,76,87,126],"image":[28],"with":[29,62],"this":[30,110],"model.":[33],"Before":[34],"building,":[39],"we":[40,59,81,100],"analysed":[41],"space":[43],"chose":[45],"lighten-unrelated":[46],"YCbCr":[47],"space.":[48],"Because":[49],"effect":[52],"environment":[54],"when":[55],"get":[56],"image,":[58],"compensated":[60],"illumination":[61],"logarithm":[63],"transformation":[64],"filter":[66],"right":[68],"light":[69],"statistic.":[72],"Also,":[73],"order":[75],"improve":[77],"detecting":[79,143],"efficiency,":[80],"import":[82],"ponderance":[84],"named":[85],"Ct":[86,95],"present":[88],"number":[90],"pixels.":[93,105],"If":[94],"lower":[96],"than":[97],"a":[98],"threshold,":[99],"look":[101],"it":[102],"as":[103,133],"non-skin":[104],"The":[106],"experiment":[107],"proved":[108],"that":[109],"can":[114],"detect":[115,147],"pixels":[118],"more":[119],"effectively":[120],"have":[122,149],"high":[123],"robust.":[124],"Compared":[125],"traditional":[128],"such":[132],"regional":[134],"model,":[135],"single":[136],"gauss":[137],"etc,":[139],"algorithmical":[141],"complexity,":[142],"rate":[144,148],"error":[146],"evident":[150],"improvement.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
