opencv边缘检测C++

在OpenCV中进行边缘检测可以使用Canny算子、Sobel算子、Laplacian算子和Scharr滤波器等方法。在C++中，可以使用OpenCV库函数来实现边缘检测。以下是一个示例代码：
#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>

using namespace std;
using namespace cv;

int main() {
Mat srcImage, grayImage;
srcImage = imread("/Users/dwz/Desktop/cpp/1.jpg");
Mat srcImage1 = srcImage.clone();
cvtColor(srcImage, grayImage, COLOR_BGR2GRAY);
Mat dstImage, edge;
blur(grayImage, grayImage, Size(3,3));
Canny(grayImage, edge, 150, 100, 3);
dstImage.create(srcImage1.size(), srcImage1.type());
dstImage = Scalar::all(0);
srcImage1.copyTo(dstImage, edge);
imwrite("canny.jpg", dstImage);

return 0;
}
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这段代码使用了Canny算子进行边缘检测。首先读取原始图像，然后将其转换为灰度图像。接下来对灰度图像进行模糊处理，并使用Canny算子进行边缘检测。最后将边缘检测结果与原始图像合并，并保存为"canny.jpg"。123
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