基于图象方向性信息测度的图象象素分类

针对以往象象图处理方法缺乏通用性的问题，提出了一种新的基于图象方向性信息测度的图象素数分方法，即利用不同类型的图象象素的方向性信息测度，以及方向性信息测试随观观察尺度变化时的改变不同，来将图象象素分成边缘点，平滑点和纹理点以及用于图象分析，该方法不仅可用于任意图象的前期分析，而且具有良好的抗噪能力，实验证明，该方法具有令人满意的效果。

Pixel Classification Based on Orientation Information Measure of Image

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.