Contour detection by CORF operator

Version 1.5.0.0 (101 KB) by George Azzopardi
The CORF contour operator is based on a computational model of a simple cell in visual cortex.
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Updated 19 Oct 2015

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CORF uses as input the responses of center-on and center-off difference of Gaussians (DoG) operators. It achieves orientation selectivity by combining responses of DoG operators that are aligned in a colinear manner at a given orientation.
Besides orientation selectivity, the CORF operator achieves contrast invariant orientation tuning, cross orientation suppression and response saturation, typical properties of simple cells.
You are kindly invited to use this Matlab script and cite the following article:
George Azzopardi and Nicolai Petkov, "A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model", Biological Cybernetics, vol.106(3), pp.177-189, 2012.
Paper [pdf]: http://link.springer.com/content/pdf/10.1007%2Fs00422-012-0486-6.pdf

Cite As

George Azzopardi (2024). Contour detection by CORF operator (https://www.mathworks.com/matlabcentral/fileexchange/36304-contour-detection-by-corf-operator), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008a
Compatible with any release
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CORF/

Version Published Release Notes
1.5.0.0

Added a condition which checks if the data.params is empty
Fixed a bug. The variable mem is now first initialised to [].
1.4.0.0

At line 103

Replaced
mem = find(ismember(data.params,[polarity rho],'rows',1);

with
mem = find(ismember(data.params,[polarity rho],'rows','legacy'),1);
1.2.0.0

Added a link to download the corresponding paper
1.1.0.0

I updated the Description by including the volume number and the page numbers of the citation to the paper on Biological Cybernetics
1.0.0.0