用c++语言在opencv将图片像素的坐标和梯度信息存入链表并显示链表
时间: 2023-06-01 21:03:27 浏览: 117
首先,需要安装并配置好OpenCV库。然后可以按照以下步骤实现:
1. 定义链表结构体,包括像素坐标和梯度信息:
```c
typedef struct Node {
int x;
int y;
double dx;
double dy;
struct Node* next;
} Node;
```
2. 定义函数来读取图片、计算像素梯度并存入链表中:
```c
void get_pixel_gradient(char* img_path, Node** head) {
Mat img = imread(img_path, IMREAD_GRAYSCALE);
if (img.empty()) {
printf("Error: failed to load image\n");
return;
}
Mat dx, dy;
Sobel(img, dx, CV_64F, 1, 0);
Sobel(img, dy, CV_64F, 0, 1);
*head = NULL;
Node* tail = NULL;
for (int i = 0; i < img.rows; i++) {
for (int j = 0; j < img.cols; j++) {
double dx_val = dx.at<double>(i, j);
double dy_val = dy.at<double>(i, j);
Node* node = (Node*)malloc(sizeof(Node));
node->x = j;
node->y = i;
node->dx = dx_val;
node->dy = dy_val;
node->next = NULL;
if (*head == NULL) {
*head = node;
tail = node;
} else {
tail->next = node;
tail = node;
}
}
}
}
```
3. 定义函数来显示链表中的像素坐标和梯度信息:
```c
void show_pixel_gradient(Node* head) {
Mat img(480, 640, CV_8UC3, Scalar(0, 0, 0));
Node* node = head;
while (node != NULL) {
int x = node->x;
int y = node->y;
double dx = node->dx;
double dy = node->dy;
if (dx > 0) {
line(img, Point(x, y), Point(x + dx, y), Scalar(0, 0, 255), 1);
} else {
line(img, Point(x, y), Point(x + dx, y), Scalar(255, 0, 0), 1);
}
if (dy > 0) {
line(img, Point(x, y), Point(x, y + dy), Scalar(0, 0, 255), 1);
} else {
line(img, Point(x, y), Point(x, y + dy), Scalar(255, 0, 0), 1);
}
node = node->next;
}
namedWindow("Pixel Gradient", WINDOW_NORMAL);
imshow("Pixel Gradient", img);
waitKey(0);
}
```
4. 在主函数中调用这两个函数并释放链表内存:
```c
int main() {
Node* head = NULL;
get_pixel_gradient("test.jpg", &head);
show_pixel_gradient(head);
Node* node = head;
while (node != NULL) {
Node* temp = node;
node = node->next;
free(temp);
}
return 0;
}
```
这样就可以读取图片,计算像素梯度并存入链表中,然后显示链表中的像素坐标和梯度信息。注意需要在最后释放链表内存以避免内存泄漏。
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