Gray level thresholding using the Havrda and Charvat entropy

Abstract

Investigating the Kapur et al. (1985) image thresholding method, we found, that taking the sum of the Havrda and Charvat entropies as a criterion for threshold selection instead of the Shannon entropies, can result in a better image segmentation in the sense of greater uniformity of the partitioned segments, as well as greater contrast among segments.