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Open Source Computer Vision Library
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74 lines
2.1 KiB
74 lines
2.1 KiB
7 years ago
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/**
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* @file LaplaceDemo.java
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* @brief Sample code showing how to detect edges using the Laplace operator
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*/
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import org.opencv.core.*;
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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 LaplaceDemoRun {
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public void run(String[] args) {
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//! [variables]
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// Declare the variables we are going to use
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Mat src, src_gray = new Mat(), dst = new Mat();
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int kernel_size = 3;
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int scale = 1;
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int delta = 0;
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int ddepth = CvType.CV_16S;
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String window_name = "Laplace Demo";
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//! [variables]
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//! [load]
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String imageName = ((args.length > 0) ? args[0] : "../data/lena.jpg");
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src = Imgcodecs.imread(imageName, Imgcodecs.IMREAD_COLOR); // Load an image
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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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//! [reduce_noise]
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// Reduce noise by blurring with a Gaussian filter ( kernel size = 3 )
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Imgproc.GaussianBlur( src, src, new Size(3, 3), 0, 0, Core.BORDER_DEFAULT );
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//! [reduce_noise]
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//! [convert_to_gray]
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// Convert the image to grayscale
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Imgproc.cvtColor( src, src_gray, Imgproc.COLOR_RGB2GRAY );
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//! [convert_to_gray]
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/// Apply Laplace function
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Mat abs_dst = new Mat();
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//! [laplacian]
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Imgproc.Laplacian( src_gray, dst, ddepth, kernel_size, scale, delta, Core.BORDER_DEFAULT );
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//! [laplacian]
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//! [convert]
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// converting back to CV_8U
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Core.convertScaleAbs( dst, abs_dst );
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//! [convert]
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//! [display]
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HighGui.imshow( window_name, abs_dst );
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HighGui.waitKey(0);
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//! [display]
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System.exit(0);
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}
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}
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public class LaplaceDemo {
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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 LaplaceDemoRun().run(args);
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}
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}
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