WAVELET-BASED EDGE DETECTION in DIGITAL IMAGES

Muhammad Hussain, Turghunjan Abdukirim, Yoshihiro Okada

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper proposes a wavelet based multilevel edge detection method that exploits spline dyadic wavelets and a frame work similar to that of Canny's edge detector.2 Using the recently proposed dyadic lifting schemes by Turghunjan et al.1 spline dyadic wavelet filters have been constructed, which are characterized by higher order of regularity and have the potential of better inherent noise filtering and detection results. Edges are determined as the local maxima in the subbands at different scales of the dyadic wavelet transform. Comparison reveals that our method performs better than Mallat's and Canny's edge detectors.

Original languageEnglish
Pages (from-to)513-533
Number of pages21
JournalInternational Journal of Image and Graphics
Volume8
Issue number4
DOIs
Publication statusPublished - Oct 1 2008

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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