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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15323

Title: Wavelet-Based Edge Detection in Digital Images
Authors: Hussain, M.,
Abdukirim, T.,
Okada, Y
Keywords: Lifting dyadic wavelets; edge detection; wavelet transform
Issue Date: 2008
Publisher: International Journal of Image and Graphics (IJIG)
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.
URI: http://hdl.handle.net/123456789/15323
Appears in Collections:College of Computer and Information Sciences

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