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


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

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:   (197 Views)

This paper presents a dynamic approach for skin detection- to separate the skin pixels from non-skin pixels- in color images. The static methods which use a fixed skin color model, fail if there is illumination variations or different skin colors in an image. Because of contextual information the proposed algorithm is 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 4321 kb]   (85 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2015/01/29 | Accepted: 2016/06/15 | Published: 2017/04/23

Add your comments about this article : Your username or email:
Write the security code in the box

Send email to the article author


© 2015 All Rights Reserved | Signal and Data Processing

Designed & Developed by : Yektaweb