Multilevel surround inhibition: a biologically inspired contour detector

Giuseppe Papari; Patrizio Campisi; Nicolai Petkov

doi:10.1117/12.702838

20 February 2007 Multilevel surround inhibition: a biologically inspired contour detector

Giuseppe Papari, Patrizio Campisi, Nicolai Petkov

Proceedings Volume 6497, Image Processing: Algorithms and Systems V; 649702 (2007) https://doi.org/10.1117/12.702838
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

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.

Citation Download Citation

Giuseppe Papari, Patrizio Campisi, and Nicolai Petkov "Multilevel surround inhibition: a biologically inspired contour detector", Proc. SPIE 6497, Image Processing: Algorithms and Systems V, 649702 (20 February 2007); https://doi.org/10.1117/12.702838

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