Volume 13, Issue 3 (12-2016)                   JSDP 2016, 13(3): 63-78 | Back to browse issues page


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Moradi B, Ezoji M. A Dynamic Skin Detection Method Using the Fusion of 2-D Histogram-Based Features. JSDP. 2016; 13 (3) :63-78
URL: http://jsdp.rcisp.ac.ir/article-1-325-en.html
Assistant Professor Babol Noshirvani University of Technology
Abstract:   (1228 Views)

This paper presents a dynamic approach to Skin Detection- to separate the skin pixels from non-skin pixels- in colored images. The static methods which use a fixed skin color model, will fail if there are illumination variations or different skin colors in an image. Because of contextual information the proposed algorithm will be less sensitive to the uncontrolled illumination conditions. In addition, the selection of discriminant features and the fusion of them and Bayesian classification increase the accuracy of the proposed method in comparison to the reference methods.

Full-Text [PDF 4208 kb]   (664 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2015/01/29 | Accepted: 2016/06/15 | Published: 2017/04/23 | ePublished: 2017/04/23

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