OpenCV Gaussian Mixture Model of histogram -

given histogram want train gaussian mixture model:

int calcgmmthreshold(cv::mat & hist, cv::mat & labels){     cv::mat samples(hist.rows,2, cv_32fc1); // building 2 dim samples      // output variables     cv::mat probs, log_likelihoods;     // building 2 dimensional mat -->[value][#value]    for(int = 0; i<hist.rows; i++)    {        samples.at<float>(i,0) = (float)i;        samples.at<float>(i,1) = hist.at<float>(i);    }     assert(samples.cols == 2);    assert(samples.rows == 256);     ///set gmm     //gmm object 3 gmms    cv::em gmm(3);      /*train gmms*/    gmm.train(samples, log_likelihoods, labels, probs);  } 

when plot histogram labels me looks gmms separate absolute values , not 2 dimensional input.

i have expected 3 gaussians means @ each peak of histogram.

to compute gaussian mixture model use actual image data not histogram intended in code above.