使用C++,OPENCV,OPENMP实现连通区域标记的两遍扫描算法，要求使用动态数组，最后结果以窗口显示

以下是使用C、OpenCV和OpenMP实现连通区域标记的两遍扫描算法的示例代码。该算法会将输入的二值图像中的连通区域进行标记，并在窗口中显示结果。

#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
#include <opencv2/opencv.hpp>

using namespace cv;

void labelConnectComponents(Mat& input, Mat& output)
{
    int rows = input.rows;
    int cols = input.cols;
    int label = 1;
    int *labels = new int[rows * cols];
    std::fill(labels, labels + rows * cols, 0);

    // First pass
    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            if (input.at<uchar>(i, j) == 255) {
                int upLabel = (i == 0) ? 0 : labels[(i - 1) * cols + j];
                int leftLabel = (j == 0) ? 0 : labels[i * cols + j - 1];

                if (upLabel == 0 && leftLabel == 0) {
                    labels[i * cols + j] = label;
                    label++;
                } else if (upLabel == 0 && leftLabel != 0) {
                    labels[i * cols + j] = leftLabel;
                } else if (upLabel != 0 && leftLabel == 0) {
                    labels[i * cols + j] = upLabel;
                } else {
                    labels[i * cols + j] = std::min(upLabel, leftLabel);
                    #pragma omp parallel for
                    for (int k = 0; k < j; k++) {
                        if (labels[i * cols + k] == upLabel) {
                            labels[i * cols + k] = labels[i * cols + j];
                        }
                    }
                }
            }
        }
    }

    // Second pass
    int *newLabels = new int[label];
    std::fill(newLabels, newLabels + label, 0);
    int newLabel = 1;

    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            if (input.at<uchar>(i, j) == 255) {
                int l = labels[i * cols + j];
                if (newLabels[l] == 0) {
                    newLabels[l] = newLabel;
                    newLabel++;
                }
                output.at<uchar>(i, j) = newLabels[l];
            }
        }
    }

    delete[] labels;
    delete[] newLabels;
}

int main(int argc, char** argv)
{
    if (argc != 2) {
        printf("Usage: ./program image_file\n");
        return -1;
    }

    Mat image, gray, output;
    image = imread(argv[1], IMREAD_COLOR);

    if (!image.data) {
        printf("No image data\n");
        return -1;
    }

    cvtColor(image, gray, COLOR_BGR2GRAY);
    threshold(gray, gray, 128, 255, THRESH_BINARY);

    output.create(gray.size(), CV_8UC1);
    std::fill(output.data, output.data + output.total(), 0);

    double start = omp_get_wtime();
    labelConnectComponents(gray, output);
    double end = omp_get_wtime();

    printf("Time taken: %f seconds\n", end - start);

    namedWindow("Input", WINDOW_NORMAL);
    namedWindow("Output", WINDOW_NORMAL);
    imshow("Input", gray);
    imshow("Output", output);
    waitKey(0);

    return 0;
}