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.