使用TonemapDurand融合图像
时间: 2024-01-24 19:02:34 浏览: 81
要使用 `TonemapDurand` 来融合图像,你可以按照以下步骤进行操作:
1. 导入必要的库和头文件:
```cpp
#include <opencv2/opencv.hpp>
```
2. 加载要融合的图像并将其转换为浮点型:
```cpp
cv::Mat image1 = cv::imread("image1.jpg", cv::IMREAD_COLOR);
cv::Mat image2 = cv::imread("image2.jpg", cv::IMREAD_COLOR);
image1.convertTo(image1, CV_32F);
image2.convertTo(image2, CV_32F);
```
3. 创建 `TonemapDurand` 对象并设置其参数:
```cpp
cv::Ptr<cv::TonemapDurand> tonemapper = cv::createTonemapDurand();
tonemapper->setSaturation(1.0); // 设置饱和度,可根据需要调整
tonemapper->setContrast(4.0); // 设置对比度,可根据需要调整
tonemapper->setSigmaSpace(2.0); // 设置空间标准差,可根据需要调整
tonemapper->setSigmaColor(2.0); // 设置颜色标准差,可根据需要调整
```
4. 对每个图像应用 `TonemapDurand`:
```cpp
cv::Mat tonemapped_image1;
tonemapper->process(image1, tonemapped_image1);
cv::Mat tonemapped_image2;
tonemapper->process(image2, tonemapped_image2);
```
5. 将两个融合后的图像相加:
```cpp
cv::Mat fused_image = tonemapped_image1 + tonemapped_image2;
```
6. 将结果保存为输出图像:
```cpp
fused_image.convertTo(fused_image, CV_8U);
cv::imwrite("fused_image.jpg", fused_image);
```
完整的示例代码如下:
```cpp
#include <opencv2/opencv.hpp>
int main() {
cv::Mat image1 = cv::imread("image1.jpg", cv::IMREAD_COLOR);
cv::Mat image2 = cv::imread("image2.jpg", cv::IMREAD_COLOR);
image1.convertTo(image1, CV_32F);
image2.convertTo(image2, CV_32F);
cv::Ptr<cv::TonemapDurand> tonemapper = cv::createTonemapDurand();
tonemapper->setSaturation(1.0);
tonemapper->setContrast(4.0);
tonemapper->setSigmaSpace(2.0);
tonemapper->setSigmaColor(2.0);
cv::Mat tonemapped_image1;
tonemapper->process(image1, tonemapped_image1);
cv::Mat tonemapped_image2;
tonemapper->process(image2, tonemapped_image2);
cv::Mat fused_image = tonemapped_image1 + tonemapped_image2;
fused_image.convertTo(fused_image, CV_8U);
cv::imwrite("fused_image.jpg", fused_image);
return 0;
}
```
请确保图像文件 `image1.jpg` 和 `image2.jpg` 存在于工作目录中,并根据需要进行调整。这个示例代码将两个图像应用了 `TonemapDurand` 算法,并将结果融合在一起,最后保存为 `fused_image.jpg`。
希望这个解答对你有帮助。如果还有其他问题,请随时提问。