From 1494da339d8b1134cd479a69c3638c34be968720 Mon Sep 17 00:00:00 2001
From: Alexander Shishkov <no@email>
Date: Mon, 5 Mar 2012 11:08:59 +0000
Subject: [PATCH] fixed #1507

---
 .../histogram_calculation.rst                 | 183 +++++++++---------
 .../images/Histogram_Calculation_Result.jpg   | Bin 10167 -> 31264 bytes
 .../Histograms_Matching/calcHist_Demo.cpp     |  60 +++---
 3 files changed, 122 insertions(+), 121 deletions(-)

diff --git a/doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.rst b/doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.rst
index e8eb67f214..4b6e7c3930 100644
--- a/doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.rst
+++ b/doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.rst
@@ -88,79 +88,80 @@ Code
 
 .. code-block:: cpp
 
-   #include "opencv2/highgui/highgui.hpp"
-   #include "opencv2/imgproc/imgproc.hpp"
-   #include <iostream> 
-   #include <stdio.h>
+    #include "opencv2/highgui/highgui.hpp"
+    #include "opencv2/imgproc/imgproc.hpp"
+    #include <iostream>
+    #include <stdio.h>
 
-   using namespace std;
-   using namespace cv;
+    using namespace std;
+    using namespace cv;
 
-   /** @function main */
-   int main( int argc, char** argv )
-   {
-     Mat src, dst;
+    /**
+     * @function main
+     */
+    int main( int argc, char** argv )
+    {
+      Mat src, dst;
 
-    /// Load image
-    src = imread( argv[1], 1 );
+      /// Load image
+      src = imread( argv[1], 1 );
 
-    if( !src.data )
-      { return -1; }
+      if( !src.data )
+        { return -1; }
 
-    /// Separate the image in 3 places ( R, G and B )
-    vector<Mat> rgb_planes;
-    split( src, rgb_planes ); 
+      /// Separate the image in 3 places ( B, G and R )
+      vector<Mat> bgr_planes;
+      split( src, bgr_planes );
 
-    /// Establish the number of bins 
-    int histSize = 255;
+      /// Establish the number of bins
+      int histSize = 256;
 
-    /// Set the ranges ( for R,G,B) )
-    float range[] = { 0, 255 } ; 
-    const float* histRange = { range };
+      /// Set the ranges ( for B,G,R) )
+      float range[] = { 0, 256 } ;
+      const float* histRange = { range };
 
-    bool uniform = true; bool accumulate = false;
+      bool uniform = true; bool accumulate = false;
 
-    Mat r_hist, g_hist, b_hist;
+      Mat b_hist, g_hist, r_hist;
 
-    /// Compute the histograms:
-    calcHist( &rgb_planes[0], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate );
-    calcHist( &rgb_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate );
-    calcHist( &rgb_planes[2], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate );
+      /// Compute the histograms:
+      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 );
 
-    // Draw the histograms for R, G and B
-    int hist_w = 400; int hist_h = 400;
-    int bin_w = cvRound( (double) hist_w/histSize );
+      // Draw the histograms for B, G and R
+      int hist_w = 512; int hist_h = 400;
+      int bin_w = cvRound( (double) hist_w/histSize );
 
-    Mat histImage( hist_w, hist_h, CV_8UC3, Scalar( 0,0,0) );
+      Mat histImage( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );
 
-    /// Normalize the result to [ 0, histImage.rows ]
-    normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
-    normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
-    normalize(b_hist, b_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
+      /// Normalize the result to [ 0, histImage.rows ]
+      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() );
 
-    /// Draw for each channel 
-    for( int i = 1; i < histSize; i++ )
-      { 
-        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  ); 
-        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(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  );       
-       }
+      /// Draw for each channel
+      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  );
+      }
 
-    /// Display 
-    namedWindow("calcHist Demo", CV_WINDOW_AUTOSIZE );
-    imshow("calcHist Demo", histImage );
+      /// Display
+      namedWindow("calcHist Demo", CV_WINDOW_AUTOSIZE );
+      imshow("calcHist Demo", histImage );
 
-    waitKey(0);
+      waitKey(0);
 
-    return 0;
- 
-   }
+      return 0;
+    }
 
 Explanation
 ===========
@@ -184,25 +185,25 @@ Explanation
 
    .. code-block:: cpp
 
-      vector<Mat> rgb_planes;
-      split( src, rgb_planes ); 
+      vector<Mat> bgr_planes;
+      split( src, bgr_planes );
 
    our input is the image to be divided (this case with three channels) and the output is a vector of Mat )
 
-#. Now we are ready to start configuring the **histograms** for each plane. Since we are working with the R, G and B planes, we know that our values will range in the interval :math:`[0,255]`
+#. Now we are ready to start configuring the **histograms** for each plane. Since we are working with the B, G and R planes, we know that our values will range in the interval :math:`[0,255]`
 
    a. Establish number of bins (5, 10...):
 
       .. code-block:: cpp
   
-         int histSize = 255;
+         int histSize = 256; //from 0 to 255
 
    b. Set the range of values (as we said, between 0 and 255 )
 
       .. code-block:: cpp
 
-         /// Set the ranges ( for R,G,B) )
-         float range[] = { 0, 255 } ; 
+         /// Set the ranges ( for B,G,R) )
+         float range[] = { 0, 256 } ; //the upper boundary is exclusive
          const float* histRange = { range };
 
    c. We want our bins to have the same size (uniform) and to clear the histograms in the beginning, so:
@@ -215,26 +216,26 @@ Explanation
 
       .. code-block:: cpp
 
-         Mat r_hist, g_hist, b_hist;
+         Mat b_hist, g_hist, r_hist;
 
    e. We proceed to calculate the histograms by using the OpenCV function :calc_hist:`calcHist <>`:
    
       .. code-block:: cpp
 
-         /// Compute the histograms:
-         calcHist( &rgb_planes[0], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate );
-         calcHist( &rgb_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate );
-         calcHist( &rgb_planes[2], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate );
+          /// Compute the histograms:
+          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 );
    
       where the arguments are:
 
       .. container:: enumeratevisibleitemswithsquare
         
-         + **&rgb_planes[0]:** The source array(s)
+         + **&bgr_planes[0]:** The source array(s)
          + **1**: The number of source arrays (in this case we are using 1. We can enter here also a list of arrays )
          + **0**: The channel (*dim*) to be measured. In this case it is just the intensity (each array is single-channel) so we just write 0.
          + **Mat()**: A mask to be used on the source array ( zeros indicating pixels to be ignored ). If not defined it is not used
-         + **r_hist**: The Mat object where the histogram will be stored
+         + **b_hist**: The Mat object where the histogram will be stored
          + **1**: The histogram dimensionality. 
          + **histSize:** The number of bins per each used dimension  
          + **histRange:** The range of values to be measured per each dimension
@@ -246,26 +247,26 @@ Explanation
    .. code-block:: cpp
 
       // Draw the histograms for R, G and B
-      int hist_w = 400; int hist_h = 400;
+      int hist_w = 512; int hist_h = 400;
       int bin_w = cvRound( (double) hist_w/histSize );
 
-      Mat histImage( hist_w, hist_h, CV_8UC3, Scalar( 0,0,0) );
+      Mat histImage( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );
 
 #. Notice that before drawing, we first :normalize:`normalize <>` the histogram  so its values fall in the range indicated by the parameters entered:
 
    .. code-block:: cpp
 
       /// Normalize the result to [ 0, histImage.rows ]
-      normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
-      normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
       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() );
 
    this function receives these arguments:
 
    .. container:: enumeratevisibleitemswithsquare
    
-      + **r_hist:** Input array
-      + **r_hist:** Output normalized array (can be the same)
+      + **b_hist:** Input array
+      + **b_hist:** Output normalized array (can be the same)
       + **0** and**histImage.rows**: For this example, they are the lower and upper limits to normalize the values of **r_hist**
       + **NORM_MINMAX:** Argument that indicates the type of normalization (as described above, it adjusts the values between the two limits set before)
       + **-1:** Implies that the output normalized array will be the same type as the input
@@ -273,35 +274,35 @@ Explanation
 
 #. Finally, observe that to access the bin (in this case in this 1D-Histogram):
 
-   .. code-block:: cpp
+    .. code-block:: cpp
 
-      /// Draw for each channel 
+      /// Draw for each channel
       for( int i = 1; i < histSize; i++ )
-        { 
-          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  ); 
-          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(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(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  );
+      }
 
 
     we use the expression: 
 
     .. code-block:: cpp
 
-       r_hist.at<float>(i)
+       b_hist.at<float>(i)
 
 
-     where :math:`i` indicates the dimension. If it were a 2D-histogram we would use something like:
+    where :math:`i` indicates the dimension. If it were a 2D-histogram we would use something like:
 
     .. code-block:: cpp
 
-       r_hist.at<float>( i, j )
+       b_hist.at<float>( i, j )
 
 
 #. Finally we display our histograms and wait for the user to exit:
diff --git a/doc/tutorials/imgproc/histograms/histogram_calculation/images/Histogram_Calculation_Result.jpg b/doc/tutorials/imgproc/histograms/histogram_calculation/images/Histogram_Calculation_Result.jpg
index 07b7e320d1378e6de7648041874ee5383d4c7ccb..70eb1e80cd474e2a863dfe4a0693da7649b538d1 100644
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diff --git a/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp b/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
index ae2496320c..e010c6ac05 100644
--- a/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
+++ b/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp
@@ -25,57 +25,57 @@ int main( int argc, char** argv )
   if( !src.data )
     { return -1; }
 
-  /// Separate the image in 3 places ( R, G and B )
-  vector<Mat> rgb_planes;
-  split( src, rgb_planes ); 
+  /// Separate the image in 3 places ( B, G and R )
+  vector<Mat> bgr_planes;
+  split( src, bgr_planes );
 
-  /// Establish the number of bins 
-  int histSize = 255;
+  /// Establish the number of bins
+  int histSize = 256;
 
-  /// Set the ranges ( for R,G,B) )
-  float range[] = { 0, 255 } ; 
+  /// Set the ranges ( for B,G,R) )
+  float range[] = { 0, 256 } ;
   const float* histRange = { range };
 
   bool uniform = true; bool accumulate = false;
 
-  Mat r_hist, g_hist, b_hist;
+  Mat b_hist, g_hist, r_hist;
 
   /// Compute the histograms:
-  calcHist( &rgb_planes[0], 1, 0, Mat(), r_hist, 1, &histSize, &histRange, uniform, accumulate );
-  calcHist( &rgb_planes[1], 1, 0, Mat(), g_hist, 1, &histSize, &histRange, uniform, accumulate );
-  calcHist( &rgb_planes[2], 1, 0, Mat(), b_hist, 1, &histSize, &histRange, uniform, accumulate );
+  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 );
 
-  // Draw the histograms for R, G and B
-  int hist_w = 400; int hist_h = 400;
+  // Draw the histograms for B, G and R
+  int hist_w = 512; int hist_h = 400;
   int bin_w = cvRound( (double) hist_w/histSize );
 
-  Mat histImage( hist_w, hist_h, CV_8UC3, Scalar( 0,0,0) );
+  Mat histImage( hist_h, hist_w, CV_8UC3, Scalar( 0,0,0) );
 
   /// Normalize the result to [ 0, histImage.rows ]
-  normalize(r_hist, r_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
-  normalize(g_hist, g_hist, 0, histImage.rows, NORM_MINMAX, -1, Mat() );
   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() );
 
-  /// Draw for each channel 
+  /// Draw for each channel
   for( int i = 1; i < histSize; i++ )
-    { 
-      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  ); 
-      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(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(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  );
+  }
 
- /// Display 
+  /// Display
   namedWindow("calcHist Demo", CV_WINDOW_AUTOSIZE );
   imshow("calcHist Demo", histImage );
 
   waitKey(0);
 
   return 0;
- 
+
 }