Modifying Fuzzy Entropy and Its Application in Image Segmentation

In this paper, classical fuzzy entropy with summing operations is firstly modified into two kinds of new fuzzy entropy that includes minimizing operation or maximizing one. Then their properties are discussed. In the end, they are used to choose optimal thresholds of image thresholding segmentation. Experimental results show that the segmentation quality of some images using new fuzzy entropy thresholding method is better than that of classical fuzzy entropy.