Cogprints

Corner detection in color images by multiscale combination of end-stopped cortical cells.

Würtz, R.P. and Lourens, T. (1997) Corner detection in color images by multiscale combination of end-stopped cortical cells. [Conference Paper]

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Abstract

We present a corner-detection algorithm based on a model for end-stopping cells in the visual cortex. Shortcomings of this model are overcome by a combination over several scales. The notion of an end-stopped cell and the resulting corner detector is generalized to color channels in a biologically plausible way. The resulting corner detection method yields good results in the presence of high frequency texture, noise, varying contrast, and rounded corners. This compares favorably with known corner detectors.

Item Type:Conference Paper
Keywords:corner detection, end-stopped cells, color image, multiscale methods
Subjects:Biology > Animal Cognition
Neuroscience > Computational Neuroscience
Computer Science > Artificial Intelligence
Computer Science > Machine Vision
Neuroscience > Neural Modelling
ID Code:504
Deposited By:Würtz, Rolf P.
Deposited On:31 Jul 1998
Last Modified:11 Mar 2011 08:54

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