Matrix masking operation in OpenCV(C++) and in Matlab -


i following operation (which @ current state in matlab) using cv::mat variables.

i have matrix mask:

mask =   1     0     0  1     0     1

then matrix m:

m =   1  2  3  4  5  6  3

and samples = m(mask,:)

samples =   1  2  6

my question is, how can perform same operation like, m(mask,:), opencv?

with knowledge closet function thing copyto function in opencv matrix , mask inputs. function hold original structure of matrix can test it.

i think there no problem use for loop in opencv(in c++) because it's fast. propose use for loop below codes.

mat m=(mat_<uchar>(2,3)<<1,2,3,4,5,6); //create m cout<<m<<endl;  mat mask=(mat_<bool>(2,3)<<1,0,0,1,0,1); // create mask cout<<mask<<endl;  mat samples; /////////////////////////////// for(int i=0;i<m.total();i++) {     if(mask.at<uchar>(i))         samples.push_back(m.at<uchar>(i)); } cout<<samples<<endl;

above code result below outputs.

[  1,   2,   3;    4,   5,   6]  [  1,   0,   0;    1,   0,   1]  [  1;    4;    6]

with using copyto output below 

[1 0 0  4 0 6];

enter image description here


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