Image thresholding based on Ali-Silvey distance measures

Liane C. Ramac, Pramod K. Varshney

Research output: Contribution to journalArticle

29 Scopus citations

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,

Original languageEnglish (US)
Pages (from-to)1161-1174
Number of pages14
JournalPattern Recognition
Volume30
Issue number7
DOIs
StatePublished - Jul 1997

Keywords

  • Ali-silvey distance measures
  • Co-occurrence matrix
  • Image processing
  • Relative entropy
  • Segmentation
  • Thresholding

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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