Pixel Classification Based on Orientation Information Measure of Image
基于图象方向性信息测度的图象象素分类

Pixel classification is one basic issues of image processing. A novel method of pixel classification based on orientation information measure of image is presented. Firstly, the general characterisitics of the pixels belonging to various pixel calsses are discussed, and the radical principles of pixel classification are also given in this paper. Then, each pixel of a gray value image is classified into the edge, the smooth, or the textured feature point, based on the orientation information measure of image, and variance of the orientation information measure when the scale of observation is changed. The method effectively integrates the multi scaled observations of image and the information measure of image. Finally, the effectiveness of this method has been testified by some experiments in the end of this paper. The method can generally be used as a front end of image processing and image analyses, has the better capability for denoise.