A Fast Image Region Segmentation Method Based on Gaussion Statistical Model

According to the randomness of image information and the timeliness of facing application,a fast image region segmentation algorithm based on the Gaussion statistical model is introduced in this paper.Compared with some existed image region segmentation algorithms,the method which this article proposed establishes the Gaussion statistical model using the noise instead of image denoising.Besides,max-min method is also used in this article and the initial division thought is proposed.The experiments indicate that the new method strengthened the stability of division result,raised the division speed and also had conformed to the accuracy and the timely image request.