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Today, I would like to share with you how to customize the image filter operator in Java OpenCV, the content is detailed, the logic is clear, I believe most people still know too much about this knowledge, so share this article for your reference, I hope you can get something after reading this article, let's take a look at it.

Sample code package com.xu.image;import java.io.File;import org.opencv.core.Core;import org.opencv.core.Mat;import org.opencv.core.Point;import org.opencv.highgui.HighGui;import org.opencv.imgcodecs.Imgcodecs;import org.opencv.imgproc.Imgproc / * @ Title: Image.java * @ Description: OpenCV Test File * @ Package com.xu.test * @ author: hyacinth * @ date: 12:13:13 * @ version: Vmur1.0.0 * @ Copyright: 2019 hyacinth * / public class Image {static {String os = System.getProperty ("os.name"); String type = System.getProperty ("sun.arch.data.model") If (os.toUpperCase (). Contains ("WINDOWS")) {File lib; if (type.endsWith ("64")) {lib = new File ("D:\\ Learn\\ OpenCV\\ OpenCV-4.5.5\ build\\ java\\ x64\" + System.mapLibraryName ("opencv_java455")) } else {lib = new File ("D:\ Learn\\ OpenCV\\ OpenCV-4.5.5\\ build\\ java\\ x86\" + System.mapLibraryName ("opencv_java455"));} System.load (lib.getAbsolutePath ());}} public static void main (String [] args) {kernel3 () } / * OpenCV-4.0.0 Custom filter (noise reduction) (Robert operator) * * @ return: void * @ date: 12:16:55 * / public static void kernel1 () {Mat src = Imgcodecs.imread ("D:\\ OneDrive\\ Desktop\\ 1.jpg"); HighGui.imshow ("original Robert operator", src.clone ()) Mat dst_x = new Mat (); Mat dst_y = new Mat (); / / Robert operator-X axis Mat kernel_x = new Mat (2,2,1); kernel_x.put (0,0,1); kernel_x.put (0,1,0); kernel_x.put (1,0,0); kernel_x.put (1,1,1) Imgproc.filter2D (src, dst_x,-1, kernel_x, new Point (- 1,-1), 0.0); / / Robert operator-Y axis Mat kernel_y = new Mat (2,2,1); kernel_y.put (0,0,0); kernel_y.put (0,1,1); kernel_y.put (1,0,-1) Kernel_y.put (1,1,0); Imgproc.filter2D (src, dst_y,-1, kernel_y, new Point (- 1,-1), 0.0); HighGui.imshow ("Robert operator Y", dst_y); HighGui.imshow ("Robert operator X", dst_x); Mat dst = new Mat () Core.addWeighted (dst_x, 0.5, dst_y, 0.5,0, dst); HighGui.imshow ("Robert operator Fusion", dst); HighGui.waitKey (10) } / * OpenCV-4.0.0 Custom filter (noise reduction) (Sable operator) * * @ return: void * @ date: 12:16:55 * / public static void kernel2 () {Mat src = Imgcodecs.imread ("D:\\ OneDrive\\ Desktop\\ 1.jpg"); HighGui.imshow ("original Sable operator", src.clone ()) Mat dst_x = new Mat (); Mat dst_y = new Mat (); / / Soble operator-X axis Mat kernel_x = new Mat (3,3,1); kernel_x.put (0,0,1); kernel_x.put (0,1,0); kernel_x.put (0,2,1); kernel_x.put (1,0,-2) Kernel_x.put (1,1,0); kernel_x.put (1,2,2); kernel_x.put (2,0,1); kernel_x.put (2,1,0); kernel_x.put (2,2,1); Imgproc.filter2D (src, dst_x,-1, kernel_x, new Point (- 1,1,0.0)) / / Soble operator-Y axis Mat kernel_y = new Mat (3,3,1); kernel_y.put (0,0,1); kernel_y.put (0,1,2); kernel_y.put (0,2,1); kernel_y.put (1,0,0); kernel_y.put (1,1,0) Kernel_y.put (1,2,0); kernel_y.put (2,0,1); kernel_y.put (2,1,2); kernel_y.put (2,2,1); Imgproc.filter2D (src, dst_y,-1, kernel_y, new Point (- 1,-1), 0.0); HighGui.imshow ("Sable operator X", dst_x) HighGui.imshow ("Sable operator Y", dst_y); Mat dst = new Mat (); Core.addWeighted (dst_x, 0.5, dst_y, 0.5,0, dst); HighGui.imshow ("Sable operator Fusion", dst); HighGui.waitKey (1) } / * OpenCV-4.0.0 Custom filter (noise reduction) (Laplace operator) * * @ return: void * @ date: 12:16:55 * / public static void kernel3 () {Mat src = Imgcodecs.imread ("D:\\ OneDrive\\ Desktop\\ 1.jpg"); HighGui.imshow ("original Laplace operator", src.clone ()) Mat dst = new Mat (); / / Laplace operator Mat kernel = new Mat (3,3,1); kernel.put (0,0,0); kernel.put (0,1,0); kernel.put (0,2,0); kernel.put (1,0,-1); kernel.put (1,1,4) Kernel.put (1,2,-1); kernel.put (2,0,0); kernel.put (2,1,1); kernel.put (2,2,0); Imgproc.filter2D (src, dst,-1, kernel, new Point (- 1,-1), 0.0); HighGui.imshow ("Laplace operator", dst); HighGui.waitKey (0) }} effect picture

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