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Open Source Computer Vision Library
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73 lines
2.1 KiB
73 lines
2.1 KiB
/** |
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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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