利用OpenCV进行图像配准

项目代码：GitHub：team79/ImageRegistration  图像配准类：  文件：  ImageRegistration.h  ImageRegistration.cpp

class ImageRegistration {
    Mat src1;
    Mat src2;
    void getRegistrationMat();
    Mat transMatrix;
public:
    void init(Mat,Mat);
    Point2f getXY(int,int);
    ~ImageRegistration();
};

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其中src1为原图像，src2为待匹配图像。  初始化：

Mat src1 = imread("test-1.png", 1);
Mat src2 = imread("test-2.png", 1); 
ImageRegistration llll;
llll.init(src1, src2);

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调用getXY函数即可得到原图中的点在src2中的坐标

Point2f temp = llll.getXY(i, j);

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实际演示：  比如我们将src1中的（100，100）起的50*50的块涂黑，对应的src2中也在相应位置涂黑

for (int i = 100; i < 150; i++) {
    for (int j = 100; j < 150; j++) {
        Point2f temp = llll.getXY(i, j);
        int temp1 = temp.x;
        int temp2 = temp.y;
        src1.at(j, i)[0] = 0;
        src1.at(j, i)[1] = 0;
        src1.at(j, i)[2] = 0;

        src2.at(temp2, temp1)[0] = 0;
        src2.at(temp2, temp1)[1] = 0;
        src2.at(temp2, temp1)[2] = 0;
    }
}
//warpAffine(src1, src2, mat, src2.size());
cv::namedWindow("Display window1", cv::WINDOW_AUTOSIZE);
cv::imshow("Display window1", src1);
cv::namedWindow("Display window", cv::WINDOW_AUTOSIZE);
cv::imshow("Display window", src2);
waitKey(0);
src1.release();
src2.release();

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效果：