Auto thresholds of image multilevel segmentation applying maximum value to construct 2D histogram

It may achieve auto segmentation to construct 2 D histogram utilizing 2 D entropy. Habitual approach practices center gray scale and average scale of points in the same 4 neighbor. Actually, the horizontal or vertical change of the gray scale will not stand for the whole natures among neighbor points also. A maximum value way is constructed to established 2 D histogram by utilizing of center gray value and maximum value of 4 other point gray values except 4 neighbor points in the same 3×3 neighbor. The effects of multi-level experiments to almost all images in Matlab image toolbox manifest the validity of the constructed way.