opencv图像锐化C语言
时间: 2024-09-28 08:00:31 浏览: 44
基于OpenCV的图像锐化 C代码
在OpenCV(计算机视觉库)中,使用C语言对图像进行锐化通常涉及到高通滤波器的操作,如Sobel算子、Scharr算子或Laplacian算子。以下是基本步骤:
1. **引入所需库**:
```c
#include <opencv2/opencv.hpp>
```
2. **读取图像**:
```c
cv::Mat src_image = cv::imread("input.jpg", cv::IMREAD_COLOR);
if (src_image.empty()) {
std::cout << "Could not read the image." << std::endl;
return;
}
```
3. **创建灰度图像(如果源图像是彩色)**:
```c
cv::Mat gray_image;
cv::cvtColor(src_image, gray_image, cv::COLOR_BGR2GRAY);
```
4. **选择锐化算子**:
- Sobel算子:
```c
cv::Mat sobel_x, sobel_y;
cv::Sobel(gray_image, sobel_x, CV_8U, 1, 0, 3); // 对x轴方向进行锐化
cv::Sobel(gray_image, sobel_y, CV_8U, 0, 1, 3); // 对y轴方向进行锐化
```
- Scharr算子:
```c
cv::Mat scharr_x, scharr_y;
cv::Scharr(gray_image, scharr_x, CV_8U, 1, 0);
cv::Scharr(gray_image, scharr_y, CV_8U, 0, 1);
```
- Laplacian算子:
```c
cv::Mat laplacian_image;
cv::Laplacian(gray_image, laplacian_image, CV_8U);
```
5. **合并X和Y轴的梯度**:
```c
cv::Mat combined_gradient;
cv::addWeighted(sobel_x, 1, sobel_y, 1, 0, combined_gradient); // 或 scharr_x/scharr_y/laplacian_image
```
6. **应用反差增强(如拉直边缘)**:
```c
cv::Mat sharpened_image;
cv::threshold(combined_gradient, sharpened_image, 0, 255, cv::THRESH_BINARY + cv::THRESH_OTSU);
```
7. **显示原始和锐化后的图像**:
```c
cv::imshow("Original Image", src_image);
cv::imshow("Sharpened Image", sharpened_image);
```
8. **等待用户按键并保存结果**:
```c
cv::waitKey(0);
cv::imwrite("output_sharpened.jpg", sharpened_image);
```
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