CODEWITHSUNDEEP
c++image-processingopencvcomputer-vision
Lakshmi Narayanan
Lakshmi Narayanan

Reputation: 5342

Average values of a MAT channel

I want to obtain the average values of a MAT and MatND variable, just to estimate the sharpness and brightness. However, I have been facing real issues with the vague values I have been encountering. I tried my best, but am still confused. I really do not know, if am doing the right thing.

    calcHist(&src_yuv,1,channels,Mat(),hist,1,histSize,ranges,true,false);
    Size d = hist.size();
    rows = d.height;
    cols = d.width;
    for(int k=0;k<hbins;k++)
    {
     for(int l=0;l<sbins;l++)
     {
       total = total + hist.at<float>(k,l);
     }
    }
    brightness = total/(rows*cols);

Here , am trying to calculate the histogram of the luma channel of src_yuv, which is in YUV format and average the values. Am I doing it the right way? If I change the datatype within <' '>, ranging from uchar to long int, am ending up with different values, which is understandable. But I dunno which is the right data type to use. Moreover, should I loop it within hbins,sbins or rows, cols? Please help me. am stuck at this for a long time.

     Laplacian(src_gray,dst,ddepth,kernel_size,scale,delta,BORDER_DEFAULT);
     Size s = dst.size();
     rows = s.height;
     cols = s.width;
     total = 0;
     max =  0;
     for(int k=0;k<rows;k++)
     {
       for(int l=0;l<cols;l++)
       {
          total = total + dst.at<>(k,l);
       }
     }
     average = total/(rows*cols);

What is the exact way to compute average in the above case? Could you please help me here? I tried different datatypes, starting from in for the mat, and long int for the total and averages. Its a gray scale image, and the result in the laplacian convoluted image.

Upvotes: 0

Views: 584

Answers (1)

Abhishek Thakur
Abhishek Thakur

Reputation: 17015

convert the input src_yuv to BGR before calcHist and you will get the desired output with the same code.

EDIT: for YUV:-

out = imread("Lena.jpg");
out.convertTo(out, CV_RGB2YCrCb);
MatND hist;
int hbins = 30, sbins = 32;
int histSize[] = {hbins, sbins};
float hranges[] = { 0, 180 };
float sranges[] = { 0, 256 };
 int channels[] = {0,1,2};
const float* ranges[] = { hranges, sranges };
calcHist( &out, 1, channels, Mat(), 
         hist, 2, histSize, ranges,
         true, 
         false );
Size d = hist.size();
int rows = d.height;
int cols = d.width;
float total;
float brightness;
for(int k=0;k<hbins;k++)
{
    for(int l=0;l<sbins;l++)
    {
        total = total + hist.at<float>(k,l);
    }
}
brightness = total/(rows*cols);

this gives me brightness to be 246.895

Upvotes: 1

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