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I have two arrays：

   A （rows：60， cols：62，dim：2，channel：32）  and  F（rows：9， cols：9，dim：2，channel：32）.

I want to compute Convolution with A and F, but it failed because the channel of A is more than 3. So the official API filter2d() not support this input Array!!! Now, I implement this function with for-loop :

1. Split A into vector vecA，and the vecA.size=A.channel = 32 , the same as F and vecF.

2. for-loop for computing Convolution

   cv::Mat acc;

   for( int i=0 ; i < vecA.size() ; i++) {

   cv::Mat dst;

   filter2d( vecA[i], dst , vecA[i].depth(), vecF[i], Point(-1, -1), 0, BORDER_CONSTANT);

   cv::add(acc, dst ,acc);

}

It is very ugly and not Efficient ， so anyone have some ideas help me???