{"title":"Skin color detecting unite YCgCb color space with YCgCr color space","authors":"Zhengzhen Zhang, Yuexiang Shi","doi":"10.1109/IASP.2009.5054575","DOIUrl":null,"url":null,"abstract":"In order to detect more reliably skin color for color facial image with complicated background, we have presented a detection method based on uniting YCgCb color space with YCgCr color spaced. There exist many colors in nature that are similar to skin color, such as sand, sand beach, soil, stone, cement road, wood, and so on. The things mentioned above are similar to skin color and create many difficulties in detecting human face color. The problem hasn't been solved completely. In this paper we present a circular fitting of distribution of Cg-Cb color space and a parallelogram fitting of distribution of Cg-Cr color space to detect skin color. The experimental results show that even though the idea behind our method is simple, our method is fast, and can also preserve the skin color better than previous methods.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30
Abstract
In order to detect more reliably skin color for color facial image with complicated background, we have presented a detection method based on uniting YCgCb color space with YCgCr color spaced. There exist many colors in nature that are similar to skin color, such as sand, sand beach, soil, stone, cement road, wood, and so on. The things mentioned above are similar to skin color and create many difficulties in detecting human face color. The problem hasn't been solved completely. In this paper we present a circular fitting of distribution of Cg-Cb color space and a parallelogram fitting of distribution of Cg-Cr color space to detect skin color. The experimental results show that even though the idea behind our method is simple, our method is fast, and can also preserve the skin color better than previous methods.