Tutorial Filter2D
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/**
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* @file Filter2D_demo.java
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* @brief Sample code that shows how to implement your own linear filters by using filter2D function
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*/
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import org.opencv.core.*;
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import org.opencv.core.Point;
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import org.opencv.highgui.HighGui;
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import org.opencv.imgcodecs.Imgcodecs;
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import org.opencv.imgproc.Imgproc;
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class Filter2D_DemoRun {
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public void run(String[] args) {
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// Declare variables
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Mat src, dst = new Mat();
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Mat kernel = new Mat();
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Point anchor;
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double delta;
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int ddepth;
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int kernel_size;
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String window_name = "filter2D Demo";
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//! [load]
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String imageName = ((args.length > 0) ? args[0] : "../data/lena.jpg");
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// Load an image
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src = Imgcodecs.imread(imageName, Imgcodecs.IMREAD_COLOR);
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// Check if image is loaded fine
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if( src.empty() ) {
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System.out.println("Error opening image!");
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System.out.println("Program Arguments: [image_name -- default ../data/lena.jpg] \n");
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System.exit(-1);
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}
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//! [load]
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//! [init_arguments]
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// Initialize arguments for the filter
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anchor = new Point( -1, -1);
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delta = 0.0;
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ddepth = -1;
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//! [init_arguments]
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// Loop - Will filter the image with different kernel sizes each 0.5 seconds
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int ind = 0;
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while( true )
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{
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//! [update_kernel]
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// Update kernel size for a normalized box filter
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kernel_size = 3 + 2*( ind%5 );
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Mat ones = Mat.ones( kernel_size, kernel_size, CvType.CV_32F );
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Core.multiply(ones, new Scalar(1/(double)(kernel_size*kernel_size)), kernel);
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//! [update_kernel]
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//! [apply_filter]
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// Apply filter
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Imgproc.filter2D(src, dst, ddepth , kernel, anchor, delta, Core.BORDER_DEFAULT );
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//! [apply_filter]
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HighGui.imshow( window_name, dst );
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int c = HighGui.waitKey(500);
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// Press 'ESC' to exit the program
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if( c == 27 )
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{ break; }
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ind++;
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}
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System.exit(0);
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}
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}
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public class Filter2D_Demo {
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public static void main(String[] args) {
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// Load the native library.
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System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
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new Filter2D_DemoRun().run(args);
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}
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}
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