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Swap Histogram of two different images..

Hi, I have two different images (Image A and Image B), whose histograms (histImage and histImage1) i have already computed..
Now I want that the histogram of Image A becomes the histogram of Image B.. so that the Image B gets the colors similar to Image A... code is as follow:

include "stdafx.h"

include "opencv2/highgui/highgui.hpp"

include "opencv2/imgproc/imgproc.hpp"

include <iostream>

include <stdio.h>

using namespace std; using namespace cv; int main( ) { Mat src, dst, src1;

/// Load image src = imread("C:/Users/Waqas/Desktop/19juneexp/4.jpg", 1 ); // Image A src1 = imread("C:/Users/Waqas/Desktop/19juneexp/body.jpg", 1 ); // Image B

if( !src.data ) { return -1; }

/// Separate the image in 3 places ( B, G and R ) vector<mat> bgr_planes; vector<mat> bgr_planes1; split( src, bgr_planes ); split( src1, bgr_planes1 );

/// Establish the number of bins 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_hist, g_hist, r_hist; //ImageA Mat b_hist1, g_hist1, r_hist1; //ImageB

/// Compute the histograms of Image A calcHist( &bgr_planes[0], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate ); calcHist( &bgr_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate ); calcHist( &bgr_planes[2], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate ); /// Compute the histograms of Image B 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 );

// Draw the histograms for B, G and R int hist_w = 512; int hist_h = 400; //Image A int bin_w = cvRound( (double) hist_w/histSize ); //Image A int hist_w1 = 512; int hist_h1 = 400; //Image B int bin_w1 = cvRound( (double) hist_w1/histSize );//Image B

Mat histImage( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) ); //ImageA Mat histImage1( hist_h1, hist_w1, CV_8UC3, Scalar( 0,0,0) ); //ImageB

/// Normalize the result to [ 0, histImage.rows ] ImageA normalize(b_hist, b_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); /// Normalize the result to [ 0, histImage.rows ] ImageB normalize(b_hist1, b_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(g_hist1, g_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(r_hist1, r_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() );

/// Draw for each channel ImageA for( int i = 1; i < histSize; i++ ) { line( histImage, Point( bin_w(i-1), hist_h - cvRound(b_hist.at<float>(i-1)) ) , Point( bin_w(i), hist_h - cvRound(b_hist.at<float>(i)) ), Scalar( 255, 0, 0), 2, 8, 0 ); line( histImage, Point( bin_w(i-1), hist_h - cvRound(g_hist.at<float>(i-1)) ) , Point( bin_w(i), hist_h - cvRound(g_hist.at<float>(i)) ), Scalar( 0, 255, 0), 2, 8, 0 ); line( histImage, Point( bin_w(i-1), hist_h - cvRound(r_hist.at<float>(i-1)) ) , Point( bin_w(i), hist_h - cvRound(r_hist.at<float>(i)) ), Scalar( 0, 0, 255), 2, 8, 0 ); } //////////////////////////////////////////////////// /// Draw for each channel ImageB for( int i = 1; i < histSize; i++ ) { line( histImage1, Point( bin_w1(i-1), hist_h1 - cvRound(b_hist1.at<float>(i-1)) ) , Point( bin_w1(i), hist_h1 - cvRound(b_hist1.at<float>(i)) ), Scalar( 255, 0, 0), 2, 8, 0 ); line( histImage1, Point( bin_w1(i-1), hist_h1 - cvRound(g_hist1.at<float>(i-1)) ) , Point( bin_w1(i), hist_h1 - cvRound(g_hist1.at<float>(i)) ), Scalar( 0, 255, 0), 2, 8, 0 ); line( histImage1, Point( bin_w1(i-1), hist_h1 - cvRound(r_hist1.at<float>(i-1)) ) , Point( bin_w1(i), hist_h1 - cvRound(r_hist1.at<float>(i)) ), Scalar( 0, 0, 255), 2, 8, 0 ); } /////////////////////////////////////////////////////

/// Display namedWindow("calcHist", CV_WINDOW_AUTOSIZE ); imshow("face ", histImage ); //Histogram of Image A /// Display namedWindow("calcHist1", CV_WINDOW_AUTOSIZE ); imshow("body ", histImage1 ); //Histogram of Image B

waitKey(0);

return 0; }

Swap Histogram of two different images..

Hi, I have two different images (Image A and Image B), whose histograms (histImage and histImage1) i have already computed..
Now I want that the histogram of Image A becomes the histogram of Image B.. so that the Image B gets the colors similar to Image A... code is as follow:

include "stdafx.h"

include "opencv2/highgui/highgui.hpp"

include "opencv2/imgproc/imgproc.hpp"

include <iostream>

include <stdio.h>

#include "stdafx.h"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;
int main( )
{
  Mat src, dst, src1;

src1; /// Load image src = imread("C:/Users/Waqas/Desktop/19juneexp/4.jpg", 1 ); // Image A src1 = imread("C:/Users/Waqas/Desktop/19juneexp/body.jpg", 1 ); // Image B

B if( !src.data ) { return -1; }

} /// Separate the image in 3 places ( B, G and R ) vector<mat> vector<Mat> bgr_planes; vector<mat> vector<Mat> bgr_planes1; split( src, bgr_planes ); split( src1, bgr_planes1 );

); /// Establish the number of bins int histSize = 256;

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

}; bool uniform = true; bool accumulate = false;

false; Mat b_hist, g_hist, r_hist; //ImageA Mat b_hist1, g_hist1, r_hist1; //ImageB

//ImageB /// Compute the histograms of Image A calcHist( &bgr_planes[0], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate ); calcHist( &bgr_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate ); calcHist( &bgr_planes[2], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate ); /// Compute the histograms of Image B 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 );

); // Draw the histograms for B, G and R int hist_w = 512; int hist_h = 400; //Image A int bin_w = cvRound( (double) hist_w/histSize ); //Image A int hist_w1 = 512; int hist_h1 = 400; //Image B int bin_w1 = cvRound( (double) hist_w1/histSize );//Image B

B Mat histImage( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) ); //ImageA Mat histImage1( hist_h1, hist_w1, CV_8UC3, Scalar( 0,0,0) ); //ImageB

//ImageB /// Normalize the result to [ 0, histImage.rows ] ImageA normalize(b_hist, b_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); /// Normalize the result to [ 0, histImage.rows ] ImageB normalize(b_hist1, b_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(g_hist1, g_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() ); normalize(r_hist1, r_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() );

); /// Draw for each channel ImageA for( int i = 1; i < histSize; i++ ) { line( histImage, Point( bin_w(i-1), bin_w*(i-1), hist_h - cvRound(b_hist.at<float>(i-1)) ) , Point( bin_w(i), bin_w*(i), hist_h - cvRound(b_hist.at<float>(i)) ), Scalar( 255, 0, 0), 2, 8, 0 ); line( histImage, Point( bin_w(i-1), bin_w*(i-1), hist_h - cvRound(g_hist.at<float>(i-1)) ) , Point( bin_w(i), bin_w*(i), hist_h - cvRound(g_hist.at<float>(i)) ), Scalar( 0, 255, 0), 2, 8, 0 ); line( histImage, Point( bin_w(i-1), bin_w*(i-1), hist_h - cvRound(r_hist.at<float>(i-1)) ) , Point( bin_w(i), bin_w*(i), hist_h - cvRound(r_hist.at<float>(i)) ), Scalar( 0, 0, 255), 2, 8, 0 ); } //////////////////////////////////////////////////// /// Draw for each channel ImageB for( int i = 1; i < histSize; i++ ) { line( histImage1, Point( bin_w1(i-1), bin_w1*(i-1), hist_h1 - cvRound(b_hist1.at<float>(i-1)) ) , Point( bin_w1(i), bin_w1*(i), hist_h1 - cvRound(b_hist1.at<float>(i)) ), Scalar( 255, 0, 0), 2, 8, 0 ); line( histImage1, Point( bin_w1(i-1), bin_w1*(i-1), hist_h1 - cvRound(g_hist1.at<float>(i-1)) ) , Point( bin_w1(i), bin_w1*(i), hist_h1 - cvRound(g_hist1.at<float>(i)) ), Scalar( 0, 255, 0), 2, 8, 0 ); line( histImage1, Point( bin_w1(i-1), bin_w1*(i-1), hist_h1 - cvRound(r_hist1.at<float>(i-1)) ) , Point( bin_w1(i), bin_w1*(i), hist_h1 - cvRound(r_hist1.at<float>(i)) ), Scalar( 0, 0, 255), 2, 8, 0 ); } /////////////////////////////////////////////////////

///////////////////////////////////////////////////// /// Display namedWindow("calcHist", CV_WINDOW_AUTOSIZE ); imshow("face ", histImage ); //Histogram of Image A /// Display namedWindow("calcHist1", CV_WINDOW_AUTOSIZE ); imshow("body ", histImage1 ); //Histogram of Image B

waitKey(0);

B waitKey(0); return 0; }

}

Swap Histogram of two different images..

Hi, I have two different images (Image A and Image B), whose histograms (histImage and histImage1) i have already computed..
Now I want that the histogram of Image A becomes the histogram of Image B.. so that the Image B gets the colors similar to Image A... code is as follow:

#include "stdafx.h"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;
int main( )
{
  Mat src, dst, src1;

  /// Load image
  src = imread("C:/Users/Waqas/Desktop/19juneexp/4.jpg", 1 );   // Image A
  src1 = imread("C:/Users/Waqas/Desktop/19juneexp/body.jpg", 1 ); // Image B

  if( !src.data )
    { return -1; }

  /// Separate the image in 3 places ( B, G and R )
  vector<Mat> bgr_planes;
   vector<Mat> bgr_planes1;
  split( src, bgr_planes );
  split( src1, bgr_planes1 );

  /// Establish the number of bins
  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_hist, g_hist, r_hist;  //ImageA
  Mat b_hist1, g_hist1, r_hist1; //ImageB

  /// Compute the histograms of Image A
  calcHist( &bgr_planes[0], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate );
  calcHist( &bgr_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate );
  calcHist( &bgr_planes[2], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate );
   /// Compute the histograms of Image B
    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 );


  // Draw the histograms for B, G and R
  int hist_w = 512; int hist_h = 400;   //Image A
  int bin_w = cvRound( (double) hist_w/histSize ); //Image A
   int hist_w1 = 512; int hist_h1 = 400;  //Image B
    int bin_w1 = cvRound( (double) hist_w1/histSize );//Image B

  Mat histImage( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );  //ImageA
    Mat histImage1( hist_h1, hist_w1, CV_8UC3, Scalar( 0,0,0) ); //ImageB

  /// Normalize the result to [ 0, histImage.rows ] ImageA
  normalize(b_hist, b_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
  normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
  normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
    /// Normalize the result to [ 0, histImage.rows ] ImageB
    normalize(b_hist1, b_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
  normalize(g_hist1, g_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
  normalize(r_hist1, r_hist1, 0, histImage.rows, NORM_MINMAX, -1, Mat() );


  /// Draw for each channel  ImageA
  for( int i = 1; i < histSize; i++ )
  {
      line( histImage, Point( bin_w*(i-1), hist_h - cvRound(b_hist.at<float>(i-1)) ) ,
                       Point( bin_w*(i), hist_h - cvRound(b_hist.at<float>(i)) ),
                       Scalar( 255, 0, 0), 2, 8, 0  );
      line( histImage, Point( bin_w*(i-1), hist_h - cvRound(g_hist.at<float>(i-1)) ) ,
                       Point( bin_w*(i), hist_h - cvRound(g_hist.at<float>(i)) ),
                       Scalar( 0, 255, 0), 2, 8, 0  );
      line( histImage, Point( bin_w*(i-1), hist_h - cvRound(r_hist.at<float>(i-1)) ) ,
                       Point( bin_w*(i), hist_h - cvRound(r_hist.at<float>(i)) ),
                       Scalar( 0, 0, 255), 2, 8, 0  );
  }
  ////////////////////////////////////////////////////
  /// Draw for each channel  ImageB
  for( int i = 1; i < histSize; i++ )
  {
      line( histImage1, Point( bin_w1*(i-1), hist_h1 - cvRound(b_hist1.at<float>(i-1)) ) ,
                       Point( bin_w1*(i), hist_h1 - cvRound(b_hist1.at<float>(i)) ),
                       Scalar( 255, 0, 0), 2, 8, 0  );
      line( histImage1, Point( bin_w1*(i-1), hist_h1 - cvRound(g_hist1.at<float>(i-1)) ) ,
                       Point( bin_w1*(i), hist_h1 - cvRound(g_hist1.at<float>(i)) ),
                       Scalar( 0, 255, 0), 2, 8, 0  );
      line( histImage1, Point( bin_w1*(i-1), hist_h1 - cvRound(r_hist1.at<float>(i-1)) ) ,
                       Point( bin_w1*(i), hist_h1 - cvRound(r_hist1.at<float>(i)) ),
                       Scalar( 0, 0, 255), 2, 8, 0  );
  }
  /////////////////////////////////////////////////////

  /// Display
  namedWindow("calcHist", CV_WINDOW_AUTOSIZE );
  imshow("face ", histImage );  //Histogram of Image A
   /// Display
  namedWindow("calcHist1", CV_WINDOW_AUTOSIZE );
  imshow("body ", histImage1 ); //Histogram of Image B

  waitKey(0);

  return 0;
}