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A new and improved skin detection method using mixed color space

Aznaveh, MM, Mirzaei, H, Roshan, E and Saraee, M 2009, 'A new and improved skin detection method using mixed color space' , in: Human-Computer Systems Interaction , Springer, Berlin, pp. 471-480.

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Abstract

In this paper a new and robust approach of skin detection is proposed. In the previous proposed system, we introduced a method for skin detection based on RGB vector space. An extended and modified approach based on a mixed color space is presented. The new approach overcomes the shortcoming of the previous one on detecting complex image’s background. This has been achieved by using the HSV parameters to obtain accurate skin detection results. Furthermore an iterative technique is significantly useful for obtaining the more accurate and efficient method. This can be done by changing the vectors in two phases. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. In order to evaluate our proposed approach we present the results of the experimental study. The results obtained are promising and show that our proposed approach is superior to the existing ones in terms of the number of pixels detected.

Item Type: Book Section
Themes: Media, Digital Technology and the Creative Economy
Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Publisher: Springer
Refereed: Yes
ISSN: 1867-5662
Depositing User: Dr Mo Saraee
Date Deposited: 21 Oct 2011 12:14
Last Modified: 20 Aug 2013 18:15
URI: http://usir.salford.ac.uk/id/eprint/18587

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