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Proceedings Paper

Image thresholding based on Ali-Silvey distance measures
Author(s): Liane C. Ramac; Pramod K. Varshney
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Paper 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.

Paper Details

Date Published: 14 June 1996
PDF: 11 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243183
Show Author Affiliations
Liane C. Ramac, Syracuse Univ. (United States)
Pramod K. Varshney, Syracuse Univ. (United States)


Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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