{"title":"一种基于广义判别分析的皮肤检测新方法","authors":"Fahimeh Salimi, Hadi Farzin, Farzad Ebrahimi","doi":"10.1109/ICCSII.2012.6454533","DOIUrl":null,"url":null,"abstract":"In this work, a novel method for skin detection in color images is proposed. For this purpose, three different types of kernel functions are applied within the framework of the Generalized Discriminant Analysis (GDA) algorithm in the YCbCr color space. The performance of the resulting system is evaluated using the Compaq database. Our experiments show that by adopting the proposed approach, the correct detection rate of the skin detection system will improve.","PeriodicalId":281140,"journal":{"name":"2012 International Conference on Computer Systems and Industrial Informatics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A novel skin detection method using Generalized Discriminant Analysis\",\"authors\":\"Fahimeh Salimi, Hadi Farzin, Farzad Ebrahimi\",\"doi\":\"10.1109/ICCSII.2012.6454533\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, a novel method for skin detection in color images is proposed. For this purpose, three different types of kernel functions are applied within the framework of the Generalized Discriminant Analysis (GDA) algorithm in the YCbCr color space. The performance of the resulting system is evaluated using the Compaq database. Our experiments show that by adopting the proposed approach, the correct detection rate of the skin detection system will improve.\",\"PeriodicalId\":281140,\"journal\":{\"name\":\"2012 International Conference on Computer Systems and Industrial Informatics\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Computer Systems and Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSII.2012.6454533\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Computer Systems and Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSII.2012.6454533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel skin detection method using Generalized Discriminant Analysis
In this work, a novel method for skin detection in color images is proposed. For this purpose, three different types of kernel functions are applied within the framework of the Generalized Discriminant Analysis (GDA) algorithm in the YCbCr color space. The performance of the resulting system is evaluated using the Compaq database. Our experiments show that by adopting the proposed approach, the correct detection rate of the skin detection system will improve.
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