Hand image segmentation under selective illuminations

A hand image segmentation method with focuses in constructing Gaussians mixture models (GMMs) for hand skin color is proposed. The Expectation Maximization (EM) algorithm is used for estimating parameters for GMM, and the Receiver Operating Characteristic (ROC) curve is employed for determining a threshold. Experimental results show that two thresholds, which are an overall probability threshold and a hue value threshold, are more capable of achieving ideal segmenting results than a single threshold.