Desktop : OpenCV Find Transform ECC

Goal

Test OpenCV find transform ECC.

OpenCV_FindTransformECC.java

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.TermCriteria;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.video.Video;


public class OpenCV_FindTransformECC {
    static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }

    public static void main(String[] args) {

        Mat templste = Imgcodecs.imread("D:\\projects\\Java\\OpenCV_Samples\\resource\\imgs\\DSC_0675.jpg",Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
        Mat needToBeAdjusted = Imgcodecs.imread("D:\\projects\\Java\\OpenCV_Samples\\resource\\imgs\\DSC_0663.jpg",Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);


        //定義運動模型的warp matrix
        Mat warp_matrix2=Mat.eye(2, 3, CvType.CV_32F);

        int maxIterations=5000;
        Mat mask=new Mat();

        //執行ECC算法。結果被存儲在warp matrix
        Video.findTransformECC(templste, needToBeAdjusted, warp_matrix2,Video.MOTION_EUCLIDEAN,new TermCriteria(TermCriteria.COUNT | TermCriteria.EPS, maxIterations, 1E-10),mask);
        Mat aligned=new Mat();

        //for  Euclidean and Affine
        Imgproc.warpAffine(needToBeAdjusted, aligned, warp_matrix2, templste.size(),Imgproc.INTER_LINEAR+Imgproc.WARP_INVERSE_MAP);
        Imgcodecs.imwrite("D:\\projects\\Java\\OpenCV_Samples\\resource\\imgs\\findTransformECC2.jpg",aligned);
    }
}

Result