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Proceedings Paper

Multiscale merging by a mixed approach for edge detection
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Paper Abstract

We present an edge detection algorithm from a multiscale analysis, for the real images with which we are confronted in our laboratory. Our work is based on a generalization of the Canny-Deriche filter. This filter is used to generate a frame of wavelets. We impose a minimal degree of freedom in the decomposition of the image on the frame by controlling the lower bound A and upper bound B of the frame. This minimum, obtained with A equals B, ensures the stability of the numerical analysis of the image. We propose a new criterium, the separating power, which allows to choose in a deterministic way the intrinsic parameters of the filters. This criterium introduces the concept of detection resolution which is a new concept in edge detection. Also, we evaluate the maximal delocalization obtained at the limit of the separating power. Our merging algorithm is based on human vision which zooms back and forth on the image in order to identify global structures or details in the image. The algorithm searches for candidate edge points in a certain neighborhood through the scales, in an independent way in the direction of increasing scale and in the direction of decreasing scales. The mapping points are selected and classified in order of priority. The merging method can be followed by a segmentation method selected from existing ones thus enabling a great adaptability of the complete system in the edge sense. Examples of results obtained with a (beta) -version of the method are presented.

Paper Details

Date Published: 23 October 1996
PDF: 9 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255247
Show Author Affiliations
Olivier Laligant, Univ. de Bourgogne (France)
Frederic Truchetet, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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