Frame of wavelets for edge detection

Frederic Truchetet; Olivier Laligant; E. Bourenanne; Johel Miteran

doi:10.1117/12.188766

11 October 1994 Frame of wavelets for edge detection

Frederic Truchetet, Olivier Laligant, E. Bourenanne, Johel Miteran

Proceedings Volume 2303, Wavelet Applications in Signal and Image Processing II; (1994) https://doi.org/10.1117/12.188766
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Frederic Truchetet, Olivier Laligant, E. Bourenanne, and Johel Miteran "Frame of wavelets for edge detection", Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); https://doi.org/10.1117/12.188766

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