90 lines
2.9 KiB
C++
90 lines
2.9 KiB
C++
/**
|
|
* @file compareHist_Demo.cpp
|
|
* @brief Sample code to use the function compareHist
|
|
* @author OpenCV team
|
|
*/
|
|
|
|
#include "opencv2/highgui/highgui.hpp"
|
|
#include "opencv2/imgproc/imgproc.hpp"
|
|
#include <iostream>
|
|
#include <stdio.h>
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
|
|
/**
|
|
* @function main
|
|
*/
|
|
int main( int argc, char** argv )
|
|
{
|
|
Mat src_base, hsv_base;
|
|
Mat src_test1, hsv_test1;
|
|
Mat src_test2, hsv_test2;
|
|
Mat hsv_half_down;
|
|
|
|
/// Load three images with different environment settings
|
|
if( argc < 4 )
|
|
{ printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_setting1> <image_settings2>\n");
|
|
return -1;
|
|
}
|
|
|
|
src_base = imread( argv[1], 1 );
|
|
src_test1 = imread( argv[2], 1 );
|
|
src_test2 = imread( argv[3], 1 );
|
|
|
|
/// Convert to HSV
|
|
cvtColor( src_base, hsv_base, CV_BGR2HSV );
|
|
cvtColor( src_test1, hsv_test1, CV_BGR2HSV );
|
|
cvtColor( src_test2, hsv_test2, CV_BGR2HSV );
|
|
|
|
hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
|
|
|
|
/// Using 30 bins for hue and 32 for saturation
|
|
int h_bins = 50; int s_bins = 60;
|
|
int histSize[] = { h_bins, s_bins };
|
|
|
|
// hue varies from 0 to 256, saturation from 0 to 180
|
|
float s_ranges[] = { 0, 256 };
|
|
float h_ranges[] = { 0, 180 };
|
|
|
|
const float* ranges[] = { h_ranges, s_ranges };
|
|
|
|
// Use the o-th and 1-st channels
|
|
int channels[] = { 0, 1 };
|
|
|
|
|
|
/// Histograms
|
|
MatND hist_base;
|
|
MatND hist_half_down;
|
|
MatND hist_test1;
|
|
MatND hist_test2;
|
|
|
|
/// Calculate the histograms for the HSV images
|
|
calcHist( &hsv_base, 1, channels, Mat(), hist_base, 2, histSize, ranges, true, false );
|
|
normalize( hist_base, hist_base, 0, 1, NORM_MINMAX, -1, Mat() );
|
|
|
|
calcHist( &hsv_half_down, 1, channels, Mat(), hist_half_down, 2, histSize, ranges, true, false );
|
|
normalize( hist_half_down, hist_half_down, 0, 1, NORM_MINMAX, -1, Mat() );
|
|
|
|
calcHist( &hsv_test1, 1, channels, Mat(), hist_test1, 2, histSize, ranges, true, false );
|
|
normalize( hist_test1, hist_test1, 0, 1, NORM_MINMAX, -1, Mat() );
|
|
|
|
calcHist( &hsv_test2, 1, channels, Mat(), hist_test2, 2, histSize, ranges, true, false );
|
|
normalize( hist_test2, hist_test2, 0, 1, NORM_MINMAX, -1, Mat() );
|
|
|
|
/// Apply the histogram comparison methods
|
|
for( int i = 0; i < 4; i++ )
|
|
{ int compare_method = i;
|
|
double base_base = compareHist( hist_base, hist_base, compare_method );
|
|
double base_half = compareHist( hist_base, hist_half_down, compare_method );
|
|
double base_test1 = compareHist( hist_base, hist_test1, compare_method );
|
|
double base_test2 = compareHist( hist_base, hist_test2, compare_method );
|
|
|
|
printf( " Method [%d] Perfect, Base-Half, Base-Test(1), Base-Test(2) : %f, %f, %f, %f \n", i, base_base, base_half , base_test1, base_test2 );
|
|
}
|
|
|
|
printf( "Done \n" );
|
|
|
|
return 0;
|
|
}
|