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In Computer Vision, colour-based spatial techniquesoften assume a static skincolour model. However, skin colour perceived by a camera can change whenlighting changes. In common real environment multiple light sources impinge onthe skin. Moreover, detection techniques may vary when the image under study istaken under different lighting condition than the one that was earlier underconsideration. Therefore, for robust skin pixel detection, a dynamic skincolour model that can cope with the changes must be employed. This paper showsthat skin pixel detection in a digital colour image can be significantlyimproved by employing automated colour space switching methods. In the root ofthe switching technique which is employed in this study, lies the statisticalmean of value of the skin pixels in the image which in turn has been derivedfrom the Value, measures as a third component of the HSV. The study is based onexperimentations on a set of images where capture time conditions varying fromhighly illuminated to almost dark.

Automated Switching System for Skin Pixel Segmentation in Varied Lighting