A max value approach of constructing 2-D histogram for auto image multilevel segmentation

To settle image multilevel segmentation question, a novel method was proposed based on the common steps to build up 2-D entropy and the properties of 2-D entropy in our paper. In our approach, the 2-D histogram was made by setting up the centre’s grayscale value via maximum grayscale value of rest four neighbour points in the same 4-neighbour, comparing with traditional method, experimental results of our method on almost all images of Matlab image toolbox, show that noise can be suppressed ideally without losing any necessary silhouette information about concerned objects.