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Add Java and Python code for the following imgproc tutorials: Affine Transformations, Histogram Equalization, Histogram Calculation, Histogram Comparison, Back Projection.
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@@ -17,37 +17,35 @@ using namespace std;
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*/
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int main( int argc, char** argv )
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{
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Mat src, dst;
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//! [Load image]
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CommandLineParser parser( argc, argv, "{@input | ../data/lena.jpg | input image}" );
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Mat src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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//! [Load image]
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const char* source_window = "Source image";
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const char* equalized_window = "Equalized Image";
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//! [Convert to grayscale]
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cvtColor( src, src, COLOR_BGR2GRAY );
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//! [Convert to grayscale]
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/// Load image
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CommandLineParser parser( argc, argv, "{@input | ../data/lena.jpg | input image}" );
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src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
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if( src.empty() )
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{
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cout << "Could not open or find the image!\n" << endl;
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cout << "Usage: " << argv[0] << " <Input image>" << endl;
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return -1;
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}
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//! [Apply Histogram Equalization]
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Mat dst;
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equalizeHist( src, dst );
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//! [Apply Histogram Equalization]
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/// Convert to grayscale
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cvtColor( src, src, COLOR_BGR2GRAY );
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//! [Display results]
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imshow( "Source image", src );
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imshow( "Equalized Image", dst );
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//! [Display results]
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/// Apply Histogram Equalization
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equalizeHist( src, dst );
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//! [Wait until user exits the program]
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waitKey();
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//! [Wait until user exits the program]
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/// Display results
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namedWindow( source_window, WINDOW_AUTOSIZE );
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namedWindow( equalized_window, WINDOW_AUTOSIZE );
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imshow( source_window, src );
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imshow( equalized_window, dst );
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/// Wait until user exits the program
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waitKey(0);
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return 0;
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return 0;
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}
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