Approach of automatic multithreshold image segmentation based on class variance

In this paper, we extend the automatic one threshold gray-level image segmentation method, propose an approach of automatic multithreshold gray-level image segmentation based on class variance using the classification theory in pattern recognition, and this approach can automatically select the optimum threshold (one or more) of gray-level image. Experimental results show the effectiveness of this method.