# Color Decorrelation

Hi people. Im doing a translation from Matlab to C++. That' s code in Matlab I have to put in C++

```
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Color Decorrelation
% Input Parameters:
% im - image matrix
% numColComp - number of image channels
%
% Output value:
% Xdecorr - decorrelated image, same dimensions as the original one
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function Xdecorr=colorDecorrelation(X,numColComp)
if numColComp>1 %color images
mu = mean(X); %mean of each feature of the original data
X = bsxfun(@minus, X, mu);
A = X'*X; %cavariance matrix
[V,D,notused] = svd(A);
Xdecorr=X*V;
else % in case of a grayscale image
Xdecorr = X;
end
```

My translation in C++

```
Mat colorDecorrelation(Mat img,int numColComp){
Mat V,D,A,Xdecorr,img_tr,img_f;
Scalar mu;
SVD svd;
if(numColComp>1){
//I have to convert because of gemm function need a float
img.convertTo(img_f,CV_32FC3);
img_f=img_f.reshape(1,img.rows*img.cols); // 1 channel
mu=mean(img_f);
subtract(img_f,mu,img_f);
transpose(img_f,img_tr);
A = img_tr * img_f;
V = svd(A).u;
Xdecorr = img_f*V;
}
else
Xdecorr=img;
return Xdecorr;
}
```

Do you think is it ok?