Image thresholding based on Ali-Silvey distance measures

Authors:
Liane C. Ramac;Pramod K. Varshney
Affiliations:
ECE Department, Syracuse University, Syracuse, NY 13244, U.S.A.;ECE Department, Syracuse University, Syracuse, NY 13244, U.S.A.
Venue:
Pattern Recognition
Year:
1997

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Abstract

A relative entropy based approach to image thresholding was proposed recently. It was demonstrated that this method was successful for image thresholding. Relative entropy is a member of the class of Ali-Silvey distance measures. In this paper we generalize the relative entropy based approach and present image thresholding algorithms based on the class of Ali-Silvey distance measures. A number of members of this class are selected and used for implementation in image thresholding algorithms. Performance is evaluated by applying these algorithms to several images and comparing them to a few histogram based thresholding methods.