A new and improved skin detection method using mixed color space

Aznaveh, MM; Mirzaei, H; Roshan, E; Saraee, MH

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.

Citation

Aznaveh, M., Mirzaei, H., Roshan, E., & Saraee, M. (2009). A new and improved skin detection method using mixed color space. In Human-Computer Systems Interaction (471-480). Berlin: Springer. https://doi.org/10.1007/978-3-642-03202-8_37

• Publication Date: Jan 1, 2009
• Deposit Date: Oct 21, 2011
• Pages: 471-480
• Book Title: Human-Computer Systems Interaction
• DOI: https://doi.org/10.1007/978-3-642-03202-8_37
• Publisher URL: http://dx.doi.org/10.1007/978-3-642-03202-8_37