Gabor Feature Vector Algorithm

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Angga Lisdiyanto 2016-1-20

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/264424-gabor-feature-vector-algorithm

评论： Angga Lisdiyanto 2016-1-20

I have found an algorithm for generate a feature vector of Gabor Filter from one of handwritting text recogntion paper like this sentence :

Subsequently, we divide the 64 × 64 representation into 8 × 8 feature regions, resulting in 64 regions. From each, we extract one value as an element in 512 feature vector (8 × 64).

So, the 64 x 64 is a normalized (resize) image, before convoluted with one of 8 gaborArray Gabor's banks. And the total_bank is 8. And the gaborMag is a convoluted image.

Is this Matlab code could solving an algorithm above?

total_bank = length(gaborArray);
for i = 1:total_bank
    subplot(4,2,i)
    hasil_gabor{i} = gaborMag(:,:,i); % Convolution between image with each bank Gabor
    imshow(gaborMag(:,:,i),[]);
    theta = gaborArray(i).Orientation;
    lambda = gaborArray(i).Wavelength;
    title(sprintf('Orientation=%d, Wavelength=%d',theta,lambda));
      featureVector = [];
      for a = 1:jumlah_bank
              gaborAbs = sum(abs(gaborMag(:,i)), 2); % sum all matrix elements in each rows
              gaborAbs = gaborAbs(:);
              % Normalized to zero mean and unit variance. 
              gaborAbs = ((gaborAbs-mean(gaborAbs))/(4.*std(gaborAbs,1))) + 0.5; % feature vector equation from Moftah Elzobi et al
              featureVector =  [featureVector; gaborAbs];
      end
 end