Filter with Gabor Kernel using FFT

Version 1.0.0.0 (2.72 KB) by Ke Yan
Filter an image with M*N Gabor kernels, return the result. Use FFT to accelerate.
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Updated 18 Mar 2011

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[G GWINLEN] = genGaborKernelF( MU,NU,sigma,scaleXY,imgSz )
GIMG = GABORCONV(IMG,G,GWINLEN)
Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.

Cite As

Ke Yan (2026). Filter with Gabor Kernel using FFT (https://nl.mathworks.com/matlabcentral/fileexchange/30795-filter-with-gabor-kernel-using-fft), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.0.0