When the images are assayed by the statistics

all most of images are assayed by normal distribution. But in large numbers of experimentation most of the images can' t submit to normal distribution perfectly. Some simulated result is different from the actual images. So it is necessary to assay the images by better distribution. When the color and the intensity of images are assayed

it can be found that the color of the object what people have seen is impacted by plenty of environments

such as the intensity light of the environment、diffused reflection and mirror reflection and so on. Then an object's color isn't symmetrical distribution. So it will turn up larger warp and can't simulate the distribution curve of the image greatly

if the image is assayed by normal distribution. So here the method that simulate curve byχ2distribution is proposed.χ2distribution is one of the methods that are common used in statistics. Sometimesχ2distribution can replace normal distribution. Soχ2 distribution is proposed. And better result of the segmentation has been gotten in the experimentation byχ2distribution.