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This paper introduces the definition of maximum entropy,the principle of one- dimensional and 2-D maximum entropy. This paper solves the image segmentation problem by using the maximum entropy algorithm.The image gray value is divided into two regions of the background and the object.The key problem associated with this method is to find the optimal parameter extracting objects from background, the proposed method is used to segment image and ideal segmentation results can be obtained with less computation cost.Experimental simulation shows that the algorithm has a higher accuracy while preserving the edge infomation,and maximum entropy has been proven to be an efficient method for image segmentation.

Image Segmentation Analysis based on Maximum Entropy Algorithm