Image thresholding based on Ali-Silvey distance measures

Liane C. Ramac, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsIvan Kadar, Vibeke Libby
Pages432-442
Number of pages11
StatePublished - Jan 1 1996
EventSignal Processing, Sensor Fusion, and Target Recognition V - Orlando, FL, USA
Duration: Apr 8 1996Apr 10 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2755

Other

OtherSignal Processing, Sensor Fusion, and Target Recognition V
CityOrlando, FL, USA
Period4/8/964/10/96

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Ramac, L. C., & Varshney, P. K. (1996). Image thresholding based on Ali-Silvey distance measures. In I. Kadar, & V. Libby (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 432-442). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2755).