Contour detection by CORF operator
The CORF contour operator is based on a computational model of a simple cell in visual cortex.
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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 (2026). Contour detection by CORF operator (https://www.mathworks.com/matlabcentral/fileexchange/36304-contour-detection-by-corf-operator), MATLAB Central File Exchange. Retrieved .
Acknowledgements
General Information
- Version 1.5.0.0 (101 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
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| 1.5.0.0 | Added a condition which checks if the data.params is empty
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| 1.4.0.0 | At line 103 Replaced
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| 1.2.0.0 | Added a link to download the corresponding paper |
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| 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 |
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