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