Home >Java >javaTutorial >How to match keypoints of two images using OpenCV Java library?
org.opencv.features2d.Feature2D (Abstract) class’s detect() method detects key points of a given image. For this method, you need to pass a Mat object representing the source image and an empty MatOfKeyPoint object to hold the read keypoints.
org.opencv.features2d.Feature2D The strong>drawMatches() method of class finds matches between key points of two given images and draws them. This method accepts the following parameters -
src1 - an object source image representing the first Mat class.
keypoints1 - Object of class MatOfKeyPoint, representing the key point of the first source image.
src2 - An object of class Mat representing the second source image.
keypoints2 - Object of class MatOfKeyPoint, representing the key points of the second source image.
matches1to2 strong> - a match from the first image to the second image, meaning keypoints1[i] is in keypoints2[matches[i] ] There are corresponding points in .
dst - An object of Mat class representing the target image.
So, matching the key points of two images -
Read the two sources using the imread() method image.
Get the key points of the image and use the detect() method to draw two images.
Use the drawMatches() method to find and draw matches.
import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.MatOfDMatch; import org.opencv.core.MatOfKeyPoint; import org.opencv.features2d.FastFeatureDetector; import org.opencv.features2d.Features2d; import org.opencv.highgui.HighGui; import org.opencv.imgcodecs.Imgcodecs; public class MatchingKeypoints { public static void main(String args[]) throws Exception { //Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); //Reading the source images String file1 ="D:\Images\feature1.jpg"; Mat src1 = Imgcodecs.imread(file1); String file2 ="D:\Images\feature2.jpg"; Mat src2 = Imgcodecs.imread(file2); //Creating an empty matrix to store the destination image Mat dst = new Mat(); FastFeatureDetector detector = FastFeatureDetector.create(); //Detecting the key points in both images MatOfKeyPoint keyPoints1 = new MatOfKeyPoint(); detector.detect(src1, keyPoints1); MatOfKeyPoint keyPoints2 = new MatOfKeyPoint(); detector.detect(src2, keyPoints2); MatOfDMatch matof1to2 = new MatOfDMatch(); Features2d.drawMatches(src1, keyPoints1, src2, keyPoints2, matof1to2, dst); HighGui.imshow("Feature Matching", dst); HighGui.waitKey(); } }
Image1 -
Image2 -
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