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package opencvtutorial;
/**
* @file opencvtutorial.LaplaceDemo.java
* @brief Sample code showing how to detect edges using the Laplace operator
*/
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.scijava.nativelib.NativeLoader;
class LaplaceDemoRun {
public void run(String[] args) {
// ! [variables]
// Declare the variables we are going to use
Mat src, src_gray = new Mat(), dst = new Mat();
int kernel_size = 3;
int scale = 1;
int delta = 0;
int ddepth = CvType.CV_16S;
String window_name = "Laplace Demo";
// ! [variables]
// ! [load]
String imageName = ((args.length > 0) ? args[0] : "data/lena.jpg");
src = Imgcodecs.imread(imageName, Imgcodecs.IMREAD_COLOR); // Load an image
// 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]
// ! [reduce_noise]
// Reduce noise by blurring with a Gaussian filter ( kernel size = 3 )
Imgproc.GaussianBlur(src, src, new Size(3, 3), 0, 0, Core.BORDER_DEFAULT);
// ! [reduce_noise]
// ! [convert_to_gray]
// Convert the image to grayscale
Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_RGB2GRAY);
// ! [convert_to_gray]
/// Apply Laplace function
Mat abs_dst = new Mat();
// ! [laplacian]
Imgproc.Laplacian(src_gray, dst, ddepth, kernel_size, scale, delta, Core.BORDER_DEFAULT);
// ! [laplacian]
// ! [convert]
// converting back to CV_8U
Core.convertScaleAbs(dst, abs_dst);
// ! [convert]
// ! [display]
HighGui.imshow(window_name, abs_dst);
HighGui.waitKey(0);
// ! [display]
System.exit(0);
}
}
public class LaplaceDemo {
static {
try {
// Load the native OpenCV library
NativeLoader.loadLibrary(Core.NATIVE_LIBRARY_NAME);
} catch (Exception e) {
}
}
public static void main(String[] args) {
new LaplaceDemoRun().run(args);
}
}