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A OpenCV beginner and bad math. My job is to apply the Gabor filter to a normalized image. And I only know that OpenCV has a getGaborKernel function, and i want to know the return Matrix of this function is the real part or the imaginary part of the kernel. If I can't use this function, then how can I generate those kernel? Using Java API, but C++ code is fine.

ztypl
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2 Answers2

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You can see in gabor.cpp at line 87 that it's computing the real part (according to wikipedia).

double v = scale*std::exp(ex*xr*xr + ey*yr*yr)*cos(cscale*xr + psi);

You can get the imaginary part modifying this line to (as reported also here)

double v = scale*std::exp(ex*xr*xr + ey*yr*yr)*sin(cscale*xr + psi);
                                               ^^^

Once you have your kernel, you can use it with the function filter2d

Miki
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  • Got it. Thank you so much! – ztypl Nov 19 '15 at 16:09
  • dear @Miki would you please take a look at my question https://stackoverflow.com/questions/49218236/cluster-texture-based-on-features-extracted-from-gabor – Amir Mar 14 '18 at 11:38
  • @Miki >>Dear Miki no one has answered my question yet, I appreciate if you have the time now to take a look. – Amir Mar 30 '18 at 14:27
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Actually the difference between cos and sin is and offset of 90 degrees or PI/2. So you can get the real and imaginary Gabor Kernels by making the PSI as 0 for real and PI/2 for imaginary.

Mat kernelReal = getGaborKernel(ksize, sigma, theta, lambda, gamma, 0, 0, CV_32F); Mat kernelImag = getGaborKernel(ksize, sigma, theta, lambda, gamma,0, PI/2, CV_32F);

Túlio Pires
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