Static Filtered Skin Detection
A static skin filter defines explicitly (using a number of rules) the boundaries the skin cluster has in a color space. Single or multiple ranges of threshold values for each color space component are created and the image pixel values falling within these range(s) for all the chosen color components are defined as skin pixels.
In this paper, we investigate and evaluate static skin filters for skin segmentation. As a contribution, two new static skin filters for the IHLS and CIELAB color spaces are developed. The two new static filters and four state-of-the-art static filters in YCbCr, HSI, RGB and normalized RGB color spaces are evaluated on the two datasets DS1 and DS2, on the basis of F-measure. Experimental results reveal the feasibility of the developed static skin filters. We also found that since the static filters use static boundaries, any shift of skin color ranges from the static boundaries will result in varying performance. Therefore, the F-measure rankings of the color spaces are different for the datasets DS1 and DS2.
Keywords: Static skin filters, color space thresholding, skin detection, segmentation
Download Full-Text
ABOUT THE AUTHORS
Rehanullah Khan
Rehanullah Khan graduated from University of Engineering and Technology Peshawar, with a BSc degree (Computer Engineering) in 2004 and MSc (Information Systems) in 2006. He obtained PhD degree in 2011 from Vienna University of Technology, Austria. He is currently an Assistant Professor at Sarhad University of Science and Technology, Peshawar. His research interests include color interpretation, segmentation and object recognition.
Zeeshan Khan
Zeeshan Khan has joined UET, Peshawar as a lecturer in Computer Systems Engineering.
Muhammad Aamir
Muhammad Aamir completed his bachelor and masters in Electrical Engineering from UET Peshawar. Currently, he is an assistant professor at Sarhad University of Science and IT, Peshawar, Pakistan.
Rehanullah Khan
Rehanullah Khan graduated from University of Engineering and Technology Peshawar, with a BSc degree (Computer Engineering) in 2004 and MSc (Information Systems) in 2006. He obtained PhD degree in 2011 from Vienna University of Technology, Austria. He is currently an Assistant Professor at Sarhad University of Science and Technology, Peshawar. His research interests include color interpretation, segmentation and object recognition.
Zeeshan Khan
Zeeshan Khan has joined UET, Peshawar as a lecturer in Computer Systems Engineering.
Muhammad Aamir
Muhammad Aamir completed his bachelor and masters in Electrical Engineering from UET Peshawar. Currently, he is an assistant professor at Sarhad University of Science and IT, Peshawar, Pakistan.
