Share Email Print
cover

Proceedings Paper

Generalization of Shen-Castan and Canny-Deriche filters
Author(s): Olivier Laligant; Nathalie Reynaud; Frederic Truchetet
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, a generalization of Shen-Castan and Canny- Deriche filters in a family of edge detector is presented. This family is built on the choice of an exponential model, now well known in edge detection. It is shown that the best detector is theoretically the filter of index 2 of the family obtained. However, each filter presents interesting performances and the choice of one of them depends on the characteristics of the image and the aim pursue. To help this choice the resolution power of the detector called as the separating power is measured. In this way, the compromise between theoretical performances (isolated edge) and practical performances is discussed.

Paper Details

Date Published: 6 October 1998
PDF: 12 pages
Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, (6 October 1998); doi: 10.1117/12.325790
Show Author Affiliations
Olivier Laligant, Univ. de Bourgogne (France)
Nathalie Reynaud, Univ. de Bourgogne (France)
Frederic Truchetet, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 3522:
Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top