I performed k means clustering. I have a few images with 3 different color. Now While reconstructing the image , I just want to reconstruct each color separately. For example, I have an image with red circle and a white "letter R' inside the circle. After k means, I want to regenerate the Red circle separately in another image where the letter becomes black and another image with only the letter in it. Please help me with the code. The code I used for k -means is below. HERE IS THE IMAGE 
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include<iostream>
using namespace cv;
int main( int argc, char** argv )
{
Mat newbgr;
Mat src;
Mat image = imread( "/home/manohar/Downloads/images/R-3.PNG", 1 );
imshow( "Original", image );
cvtColor(image, src, CV_BGR2Lab);
Mat samples(src.rows * src.cols, 3, CV_32F);
for( int y = 0; y < src.rows; y++ )
for( int x = 0; x < src.cols; x++ )
for( int z = 0; z < 3; z++)
samples.at<float>(y + x*src.rows, z) = src.at<Vec3b>(y,x)[z];
int clusterCount = 3;
Mat labels;
int attempts = 10;
Mat centers;
kmeans(samples, clusterCount, labels, TermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS, 10000, 0.0001), attempts, KMEANS_PP_CENTERS, centers );
Mat new_image( src.size(), src.type() );
for( int y = 0; y < src.rows; y++ )
for( int x = 0; x < src.cols; x++ )
{
int cluster_idx = labels.at<int>(y + x*src.rows,0);
new_image.at<Vec3b>(y,x)[0] = centers.at<float>(cluster_idx, 0);
new_image.at<Vec3b>(y,x)[1] = centers.at<float>(cluster_idx, 1);
new_image.at<Vec3b>(y,x)[2] = centers.at<float>(cluster_idx, 2);
}
imshow( "K means", new_image );
waitKey( 0 );
return 0;
}