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float13
1accf3b3f4
I think it would help to change all 3 of the the input file arguments to be "positional" for consistency with the other tutorials. This also simplifies the command line input to run this tutorial by reducing typing, and helpfully prints the "usage" info if any of the 3 required inputs are missing. I'm new to OpenCV and working through the tutorials. I kept getting runtime errors with this one until I realized that the arguments weren't positional, and I was missing the "--input1", "--input2, "--input3" flags preceding the filenames. All of the previous tutorials had required filenames as positional arguments and didn't require this. The original code would require each input to be specified like this: ./compareHist_Demo --input1 filename1 --input2 filename2 --input3 filename3 But with this change, the above command is simplified to: ./compareHist_Demo filename1 filename2 filename3 This avoids a confusing runtime error to make things simpler for newcomers like me :)
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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