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@inproceedings{Chakraborty:2016:10.1109/WiSPNET.2016.7566519,
author = {Chakraborty, BK and Bhuyan, MK and Kumar, S},
doi = {10.1109/WiSPNET.2016.7566519},
pages = {2133--2136},
title = {A Weighted Skin Probability Map for skin color segmentation},
url = {http://dx.doi.org/10.1109/WiSPNET.2016.7566519},
year = {2016}
}
TY - CPAPER
AB - Skin color segmentation is important for several image processing, and computer vision applications. But, the accuracy of a color-based skin detection method is affected by the presence of some skin-like colors in the background regions. So, probabilistic approaches are more suitable for the skin detection as compared to hard decision-based approaches. A Skin Probability Map (SPM) of an image provides the probability of a pixel belonging to skin region. It is observed that the accuracy of a SPM-based skin detection method also depend on the chosen colorspace for the SPM. In this paper, a novel Weighted Skin Probability Map (WSPM) is proposed for the skin color segmentation. The WSPM is represented as a weighted sum of the SPMs obtained from different color spaces. Experimental results based on standard databases show that replacing the single colorspace-based SPMs with the proposed WSPM can reduce the overall detection errors significantly.
AU - Chakraborty,BK
AU - Bhuyan,MK
AU - Kumar,S
DO - 10.1109/WiSPNET.2016.7566519
EP - 2136
PY - 2016///
SP - 2133
TI - A Weighted Skin Probability Map for skin color segmentation
UR - http://dx.doi.org/10.1109/WiSPNET.2016.7566519
ER -