Texture Image Segmentation Based on Gaussian Mixture Models
基于高斯混合模型的纹理图像分割

In the field of image processing, Image segmentation is the basic problem. Using mixtures of!Gauss, Some people segment image by single pixel value and get poor precision and lower efficiency. For segmenting image well, in this paper, we present a texture image segmentation algorithm by image patches. It is inspired by sub space on some authors. Our experiences show that this algorithm can segment texture image a little, although it cost very much in time. Then we take mean, stand deviation, maximum, minimum and middle pixel value of image patch as features. Our algorithm segments texture image very well. Especially, it improves a lot in time.