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https://gitcode.com/gh_mirrors/es/esp32-opencv.git
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96 lines
3.5 KiB
C++
96 lines
3.5 KiB
C++
/**
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* @file compareHist_Demo.cpp
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* @brief Sample code to use the function compareHist
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* @author OpenCV team
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*/
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <iostream>
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using namespace std;
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using namespace cv;
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const char* keys =
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"{ help h| | Print help message. }"
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"{ @input1 | | Path to input image 1. }"
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"{ @input2 | | Path to input image 2. }"
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"{ @input3 | | Path to input image 3. }";
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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//! [Load three images with different environment settings]
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CommandLineParser parser( argc, argv, keys );
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Mat src_base = imread( parser.get<String>("input1") );
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Mat src_test1 = imread( parser.get<String>("input2") );
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Mat src_test2 = imread( parser.get<String>("input3") );
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if( src_base.empty() || src_test1.empty() || src_test2.empty() )
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{
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cout << "Could not open or find the images!\n" << endl;
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parser.printMessage();
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return -1;
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}
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//! [Load three images with different environment settings]
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//! [Convert to HSV]
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Mat hsv_base, hsv_test1, hsv_test2;
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cvtColor( src_base, hsv_base, COLOR_BGR2HSV );
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cvtColor( src_test1, hsv_test1, COLOR_BGR2HSV );
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cvtColor( src_test2, hsv_test2, COLOR_BGR2HSV );
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//! [Convert to HSV]
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//! [Convert to HSV half]
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Mat hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows ), Range( 0, hsv_base.cols ) );
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//! [Convert to HSV half]
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//! [Using 50 bins for hue and 60 for saturation]
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int h_bins = 50, s_bins = 60;
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int histSize[] = { h_bins, s_bins };
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// hue varies from 0 to 179, saturation from 0 to 255
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float h_ranges[] = { 0, 180 };
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float s_ranges[] = { 0, 256 };
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const float* ranges[] = { h_ranges, s_ranges };
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// Use the 0-th and 1-st channels
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int channels[] = { 0, 1 };
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//! [Using 50 bins for hue and 60 for saturation]
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//! [Calculate the histograms for the HSV images]
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Mat hist_base, hist_half_down, hist_test1, hist_test2;
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calcHist( &hsv_base, 1, channels, Mat(), hist_base, 2, histSize, ranges, true, false );
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normalize( hist_base, hist_base, 0, 1, NORM_MINMAX, -1, Mat() );
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calcHist( &hsv_half_down, 1, channels, Mat(), hist_half_down, 2, histSize, ranges, true, false );
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normalize( hist_half_down, hist_half_down, 0, 1, NORM_MINMAX, -1, Mat() );
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calcHist( &hsv_test1, 1, channels, Mat(), hist_test1, 2, histSize, ranges, true, false );
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normalize( hist_test1, hist_test1, 0, 1, NORM_MINMAX, -1, Mat() );
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calcHist( &hsv_test2, 1, channels, Mat(), hist_test2, 2, histSize, ranges, true, false );
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normalize( hist_test2, hist_test2, 0, 1, NORM_MINMAX, -1, Mat() );
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//! [Calculate the histograms for the HSV images]
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//! [Apply the histogram comparison methods]
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for( int compare_method = 0; compare_method < 4; compare_method++ )
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{
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double base_base = compareHist( hist_base, hist_base, compare_method );
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double base_half = compareHist( hist_base, hist_half_down, compare_method );
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double base_test1 = compareHist( hist_base, hist_test1, compare_method );
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double base_test2 = compareHist( hist_base, hist_test2, compare_method );
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cout << "Method " << compare_method << " Perfect, Base-Half, Base-Test(1), Base-Test(2) : "
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<< base_base << " / " << base_half << " / " << base_test1 << " / " << base_test2 << endl;
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}
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//! [Apply the histogram comparison methods]
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cout << "Done \n";
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return 0;
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}
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