In order to get dense and correct disparity,a stereo matching algorithm based on color and space distance and using belief propagation was proposed.

The goal is to conquer the fault that the Euclidean distance in the traditional cylindrical coordinates cannot reasonably discriminate different colors once the color value is widely different By altering image s luminance based on its situation veracity of the color distance model is improved.

Color quantization of color images in a homogeneous color space;

Motion detection in video based on YUV color space;

Self-adaptive skin color detection algorithm based on YIQ color space;

Evaluation of tongue classification based on different color-space;

In order to solve the problem,this paper analyzes how the color of image taken by the vision sensor varies along with lighting intensity,and presents a method of color-space transformation based on electric field model,through which color images remain consistent in spite of lighting intensity variation.

Based on the semi-supervised clustering,proposed a new way of textile image segmentation by the NBS color distance in HLC color space.