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Proceedings Paper

Multilevel surround inhibition: a biologically inspired contour detector
Author(s): Giuseppe Papari; Patrizio Campisi; Nicolai Petkov
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Paper Abstract

Canny edge detector is based both on local and global image analysis, present in the gradient computation and connectivity-related hysteresis thresholding, respectively. This contribution proposes a generalization of these ideas. Instead of the sole gradient magnitude, we consider several local statistics, to take into account how much texture is present around each pixel. This information is used in biologically inspired surround inhibition of texture. Global analysis is generalized by introducing a long range connectivity analysis. We demonstrate the effectiveness of our approach by extensive experimentation.

Paper Details

Date Published: 20 February 2007
PDF: 11 pages
Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649702 (20 February 2007); doi: 10.1117/12.702838
Show Author Affiliations
Giuseppe Papari, Univ. of Groningen (Netherlands)
Patrizio Campisi, Univ. degli Studi Roma Tre (Italy)
Nicolai Petkov, Univ. of Groningen (Netherlands)

Published in SPIE Proceedings Vol. 6497:
Image Processing: Algorithms and Systems V
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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