Filter with Gabor Kernel using FFT

Filter an image with M*N Gabor kernels, return the result. Use FFT to accelerate.

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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://uk.mathworks.com/matlabcentral/fileexchange/30795-filter-with-gabor-kernel-using-fft), MATLAB Central File Exchange. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0.0