Image thresholding based on Ali-Silvey distance measures

Liane C. Ramac; Pramod K. Varshney

doi:10.1117/12.243183

Abstract

A relative entropy based approach to image thresholding was proposed recently by Chang et al. They demonstrated that this method is 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.

Citation Download Citation

Liane C. Ramac, Liane C. Ramac, Pramod K. Varshney, Pramod K. Varshney, } "Image thresholding based on Ali-Silvey distance measures", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243183; https://doi.org/10.1117/12.243183

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