Illumination Correction for Static Skin Filters
نویسندگان
چکیده
Illumination correction or Color Constancy (CC) is the ability of humans for resolving the apparent colors of objects in a given scene independently of the illumination source. For robust skin detection in images/videos, we evaluate and investigate the effect of CC approaches on static skin segmentation approaches. The effect of five CC approaches namely Gray-Edge CC, Gray-World CC, max-RGB CC, Shades-ofGray CC and Bayesian CC is studied for the YCbCr static skin filter. Results on two datasets (DS1 and DS2) having annotated per frame ground truth show that skin classification performance is improved. At the same time, the sift and deviation of the skin locus in the chromaticity space will result in alternating performance.
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