rohit.guitar's profile - activity

I have been trying to get a good threshold to distinguish you objects.

My code is here.

void compareHist(Mat img1,Mat img2){ if( img1.empty() || img2.empty()) { return; }

vector<Mat> bgr_planes1,bgr_planes2;
split(img1, bgr_planes1);
split(img2, bgr_planes2);
int histSize = 256;

/// Set the ranges ( for B,G,R) )
float range[] = { 0, 256 } ;
const float* histRange = { range };

bool uniform = true; bool accumulate = false;

Mat b_hist1, g_hist1, r_hist1;
Mat b_hist2, g_hist2, r_hist2;

/// Compute the histograms:
calcHist( &bgr_planes1[0], 1, 0, Mat(), b_hist1, 1, &histSize, &histRange, uniform, accumulate );
calcHist( &bgr_planes1[1], 1, 0, Mat(), g_hist1, 1, &histSize, &histRange, uniform, accumulate );
calcHist( &bgr_planes1[2], 1, 0, Mat(), r_hist1, 1, &histSize, &histRange, uniform, accumulate );

/// Compute the histograms:
calcHist( &bgr_planes2[0], 1, 0, Mat(), b_hist2, 1, &histSize, &histRange, uniform, accumulate );
calcHist( &bgr_planes2[1], 1, 0, Mat(), g_hist2, 1, &histSize, &histRange, uniform, accumulate );
calcHist( &bgr_planes2[2], 1, 0, Mat(), r_hist2, 1, &histSize, &histRange, uniform, accumulate );

// Draw the histograms for B, G and R
int hist_w = 520; int hist_h = 400;
int bin_w = cvRound( (double) hist_w/histSize );

Mat histImage1( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );
Mat histImage2( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );
Mat histImage3( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );

namedWindow("Blue hist", WINDOW_AUTOSIZE );
imshow("Blue hist", b_hist1 );
namedWindow("Green hist", WINDOW_AUTOSIZE );
imshow("Green hist", g_hist1 );
namedWindow("Red hist", WINDOW_AUTOSIZE );
imshow("Red hist", r_hist1 );


/// Normalize the result to [ 0, histImage.rows ]
normalize(b_hist1, b_hist1, 0, histImage1.rows, NORM_MINMAX, -1, Mat());
normalize(b_hist2, b_hist2, 0, histImage1.rows, NORM_MINMAX, -1, Mat());


normalize(g_hist1, g_hist1, 0, histImage2.rows, NORM_MINMAX, -1, Mat());
normalize(g_hist2, g_hist2, 0, histImage2.rows, NORM_MINMAX, -1, Mat());


normalize(r_hist1, r_hist1, 0, histImage3.rows, NORM_MINMAX, -1, Mat());
normalize(r_hist2, r_hist2, 0, histImage3.rows, NORM_MINMAX, -1, Mat());


/// Draw for each channel
for( int i = 1; i < histSize; i++ )
{
    line( histImage1, Point( bin_w*(i-1), hist_h -
                           cvRound(b_hist1.at<float>(i-1)) ) ,
         Point( bin_w*(i), hist_h - cvRound(b_hist1.at<float>(i)) ),
         Scalar( 255, 0, 0), 2, 8, 0  );
    line( histImage1, Point( bin_w*(i-1), hist_h -
                            cvRound(b_hist2.at<float>(i-1)) ) ,
         Point( bin_w*(i), hist_h - cvRound(b_hist2.at<float>(i)) ),
         Scalar( 255, 255, 0), 2, 8, 0  );
}

for( int i = 1; i < histSize; i++ )
{
    line( histImage2, Point( bin_w*(i-1), hist_h -
                            cvRound(g_hist1.at<float>(i-1)) ) ,
         Point( bin_w*(i), hist_h - cvRound(g_hist1.at<float>(i)) ),
         Scalar( 0, 255, 0), 2, 8, 0  );
    line( histImage2, Point( bin_w*(i-1), hist_h -
                            cvRound(g_hist2.at<float>(i-1)) ) ,
         Point( bin_w*(i), hist_h - cvRound(g_hist2.at<float>(i)) ),
         Scalar( 0, 255, 100), 2, 8, 0  );
}

for( int i = 1; i < histSize; i++ )
{
    line( histImage3, Point( bin_w*(i-1), hist_h -
                            cvRound(r_hist1.at<float>(i-1)) ) ,
         Point( bin_w*(i), hist_h - cvRound(r_hist1.at<float>(i)) ),
         Scalar( 0, 0, 255), 2, 8, 0  );
    line( histImage3, Point( bin_w*(i-1), hist_h -
                            cvRound(r_hist2.at<float>(i-1)) ) ,
         Point( bin_w*(i), hist_h - cvRound(r_hist2.at<float>(i)) ),
         Scalar( 0, 255,255), 2, 8, 0  );
}

namedWindow("Blue hist", WINDOW_AUTOSIZE );
imshow("Blue hist", b_hist1 );
namedWindow("Green hist", WINDOW_AUTOSIZE );
imshow("Green hist", g_hist1 );
namedWindow("Red hist", WINDOW_AUTOSIZE );
imshow("Red hist", r_hist1 );

}

My output is showing me just black and ... (more)