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Optical Engineering

Merging system for multiscale edge detection
Author(s): Olivier Laligant; Frederic Truchetet; Johel Miteran; Patrick Gorria
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Paper Abstract

We present a multiscale edge detection algorithm whose aim is to detect edges whatever their slope. Our work is based on a generalization of the Canny-Deriche filter, characterized by a more realistic edge than the traditional step shape edge. The filter impulse response is used to generate a multiscale edge detection scheme. For the merging of the edge information, we use a geometrical classifier developed in our laboratory. The segmentation system thus set up, after the training phase, does not require any adjustment or depend on any parameter. The main original property of this algorithm is that it leads to a binary edge image without any threshold setting. The quality of the results is inferior to that for classical multiscale merging approaches; nevertheless, this system, studied for real-time functioning, presents satisfactory performance for well-contrasted images and excellent performance for noisy images.

Paper Details

Date Published: 1 March 2005
PDF: 11 pages
Opt. Eng. 44(3) 035602 doi: 10.1117/1.1869998
Published in: Optical Engineering Volume 44, Issue 3
Show Author Affiliations
Olivier Laligant, Univ. de Bourgogne (France)
Frederic Truchetet, Univ. de Bourgogne (France)
Johel Miteran, Univ. de Bourgogne et de Franche-Comté (France)
Patrick Gorria, Univ. de Bourgogne (France)

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