用c++语言在opencv将像素的坐标和梯度信息存入链表

首先，需要定义链表节点的数据结构，包括像素坐标和梯度信息：

typedef struct pixelNode {
    int x;
    int y;
    float dx;
    float dy;
    struct pixelNode* next;
} PixelNode;

然后，可以通过遍历图像的每个像素，获取该像素的坐标和梯度信息，并将其存入链表中：

PixelNode* head = NULL; // 链表头指针

for (int y = 0; y < img.rows; y++) {
    for (int x = 0; x < img.cols; x++) {
        float dx = 0.0, dy = 0.0;
        if (x > 0 && x < img.cols - 1 && y > 0 && y < img.rows - 1) {
            dx = img.at<uchar>(y, x + 1) - img.at<uchar>(y, x - 1);
            dy = img.at<uchar>(y + 1, x) - img.at<uchar>(y - 1, x);
        }
        PixelNode* node = (PixelNode*)malloc(sizeof(PixelNode));
        node->x = x;
        node->y = y;
        node->dx = dx;
        node->dy = dy;
        node->next = head;
        head = node;
    }
}

在此基础上，可以进一步封装成函数，方便调用：

PixelNode* getPixelList(cv::Mat& img) {
    PixelNode* head = NULL;
    for (int y = 0; y < img.rows; y++) {
        for (int x = 0; x < img.cols; x++) {
            float dx = 0.0, dy = 0.0;
            if (x > 0 && x < img.cols - 1 && y > 0 && y < img.rows - 1) {
                dx = img.at<uchar>(y, x + 1) - img.at<uchar>(y, x - 1);
                dy = img.at<uchar>(y + 1, x) - img.at<uchar>(y - 1, x);
            }
            PixelNode* node = (PixelNode*)malloc(sizeof(PixelNode));
            node->x = x;
            node->y = y;
            node->dx = dx;
            node->dy = dy;
            node->next = head;
            head = node;
        }
    }
    return head;
}