Edge detection using wavelets

  • Authors:

  • Evelyn Brannock;Michael Weeks

  • Affiliations:

  • Georgia State University, Atlanta, Georgia;Georgia State University, Atlanta, Georgia

  • Venue:
  • Proceedings of the 44th annual Southeast regional conference
  • Year:
  • 2006

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Abstract

This paper studies the edge-detecting characteristics of the 2-D discrete wavelet transform. Our problem is to automatically detect edges. Since a common claim about the wavelet transform is that it splits images into an approximation and details, which contain edges, we use it in our experiments. First, to determine its efficacy, the 2-D discrete wavelet transform is compared to other common edge-detection methods. Also, a number of combinatorial methods for the octaves are examined in the comparison. Due to this work, a novel boundary-tracing algorithm is developed, to follow edges around an object of interest.