`function [coutput boutput] = CORF(I, sigma, t)`

Department of Computing Science, Intelligent Systems

This page contains an overview of the CORF operator and an example concerning the corresponding Matlab script. With the Matlab script you can use the CORF operator for contour detection.

`function [coutput boutput] = CORF(I, sigma, t)`

- Input Parameters
**I**is the intensity image. If**I**is in rgb format, it is first converted to grayscale**sigma**is the outer standard deviation of the DoG Gaussian function. The standard deviation of the inner DoG Gaussian function is 0.5 of**sigma****t**is the high threshold (0 < t ≤ 1) that is used for hysteresis thresholding. The low threshold is set to 0.5 of**t**

- Output Parameters
**coutput**is a grayscale output image of the CORF operator, where a pixel value varies between 0 and 1**bcontour**is a binarized contour map based on the given high threshold**t**

[1] G. Azzopardi and N. Petkov, "A CORF computational model of a simple that relies on LGN input outperforms the Gabor function model",

Last changed: 2012-04-27 |