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Proceedings Paper

Frame of wavelets for edge detection
Author(s): Frederic Truchetet; Olivier Laligant; E. Bourenanne; Johel Miteran
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Paper Abstract

We present in the following work, a multiscale edge detection algorithm whose aim is to detect edges of any slope. Our work is based on a generalization of the Canny-Deriche filter, modelized by a more realistic edge than the traditional step shape edge. The filter impulse response is used to generate a frame of wavelets. For the merging of the wavelet coefficients, we use a geometrical classifier developed in our laboratory. The segmentation system thus set up and after the training phase does not require any adjustment nor parameter. The main original property of this algorithm is that it leads to a binary edge image without any threshold setting.

Paper Details

Date Published: 11 October 1994
PDF: 12 pages
Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188766
Show Author Affiliations
Frederic Truchetet, Univ. de Bourgogne (France)
Olivier Laligant, Univ. de Bourgogne (France)
E. Bourenanne, Univ. de Bourgogne (France)
Johel Miteran, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 2303:
Wavelet Applications in Signal and Image Processing II
Andrew F. Laine; Michael A. Unser, Editor(s)

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