Tolerable Skin Color in NPR Images

Adaptive skin segmentation in color images

A new skin segmentation technique for color images is proposed. The proposed technique uses a human skin color model that is based on the Bayesian decision theory and developed using a large training set of skin colors and nonskin colors. The proposed technique is novel and unique in that texture characteristics of the human skin are used to select appropriate skin color thresholds for skin seg...

Improved Automatic Skin Detection in Color Images

Mahalanobis distance has already proved its strength in human skin detection using a set of skin values. We present this work that uses automatic skin detection after an initial camera calibration. The calibration is done by human sampling from test individuals. A scaling is performed on the work data, before applying the Mahalanobis distance that ensures better results than previous works. We ...

Face Detection in Still Color Images Using Skin Color Information

In this paper, we develop two face detection methods in color images. These methods rely on a two step process. First, we detect human skin regions using Bayes rule in color images. To avoid the effect of brightness included in the RGB color space, we propose to model the skin color in the chromatic and pure color space YCrCb, which separates luminance and chrominance components. A Gaussian pro...

Assessing human skin color from uncalibrated images

Images of a scene captured with multiple cameras will have different color values because of variations in color rendering across devices. We present a method to accurately retrieve color information from uncalibrated images taken under uncontrolled lighting conditions with an unknown device and no access to raw data, but with a limited number of reference colors in the scene. The method is use...

Skin detection for single images using dynamic skin color modeling