C++ openCV/图像处理中创建三维MAT型阵列时的分割错误

C++ openCV/图像处理中创建三维MAT型阵列时的分割错误,c++,c,opencv,image-processing,segmentation-fault,C++,C,Opencv,Image Processing,Segmentation Fault,我有一张大小为576x720的图像,我正在将它分成几个小部分,从1.40625x1.125到288x360,在每次迭代中使用不同的roi_宽度和roi_高度(从k=9到k=1)。我想创建一个Mat dst_n(3维,k,x_dim(沿x的窗口数)和y_dim(沿y的窗口数))类型的数组,但它在创建时存在给定分段错误?如何正确分配它 int a,b; a = log_base_n(image1.cols,2); b = log_base_n(image1.rows,2);

我有一张大小为576x720的图像,我正在将它分成几个小部分,从1.40625x1.125到288x360,在每次迭代中使用不同的roi_宽度和roi_高度(从k=9到k=1)。我想创建一个Mat dst_n(3维,k,x_dim(沿x的窗口数)和y_dim(沿y的窗口数))类型的数组,但它在创建时存在给定分段错误?如何正确分配它

    int a,b;

    a = log_base_n(image1.cols,2);
    b = log_base_n(image1.rows,2);
    double roi_width = (image2.cols)/pow(2.0,a);
    cout << roi_width << endl;
    double roi_height = (image2.rows)/pow(2.0,a);
    cout << roi_height << endl;

    double roi_left = roi_width/2.0;
    cout << roi_left << endl;
    double roi_top  = roi_height/2.0;
    cout << roi_top << endl;

    for(int k=9 ;k>0;k--){

        int x_dim = 2*pow(2.0,k)-1;
        int y_dim = 2*pow(2.0,k)-1;
        cout << "working"<< endl;
        **Mat dst_n[k][x_dim][y_dim];**       // This line is giving segmentation fault. I think, its due to some dynamic allocation, because when I assigned Mat dst[3][3], it was working fine.


        **vector<KeyPoint> vec_keypoints_n[k][x_dim][y_dim];
        Mat descriptors_n[k][x_dim][y_dim];
        Mat bowDescriptor_n[k][x_dim][y_dim];
        double base_test_n[k][x_dim][y_dim];**
        for (int j=0;j<y_dim;j++){
            cout << "working"<< endl;
            for (int i=0;i<x_dim;i++){
                cout << "working"<< endl;
                image2(Rect(roi_left*i,roi_top*j,roi_width,roi_height)).copyTo(dst_n[k][j][i]);
                detector.detect(dst_n[k][j][i],vec_keypoints_n[k][j][i]);
                cout << vec_keypoints_n[k][j][i].size() << endl;
                sift_extractor1->compute(dst_n[k][j][i],vec_keypoints_n[k][j][i],descriptors_n[k][j][i]);
                bowDE.compute(dst_n[k][j][i],vec_keypoints_n[k][j][i], bowDescriptor_n[k][j][i]);
                base_test_n[k][j][i] = compareHist(bowDescriptor1,bowDescriptor_n[k][j][i],0);

                                 cout << "base_test_n = " << base_test_n[k][j][i] << endl;
            }
            cout << "working"<< endl;
        }
        cout << "working"<< endl;
        roi_width = roi_width*2;
        roi_height = roi_height*2;
        roi_left = roi_left*2;
        roi_top = roi_top*2;
    }
要在OpenCV中创建3D矩阵,应使用

int sizes[] = { k, x_dim, y_dim};
Mat matrix = Mat(3, sizes, CV_64FC1);
int sizes[] = { k, x_dim, y_dim};
Mat matrix = Mat(3, sizes, CV_64FC1);
Mat dst_n[k][x_dim][y_dim];  // you cannot create a Mat like this
int sizes[] = { k, x_dim, y_dim};
Mat matrix = Mat(3, sizes, CV_64FC1);