使用Scharr 算子进行边缘检测

//Program to detect edges in an image using the threshold Scharr operator
#include 
#include 
#include 
#include 
using namespace std;
using namespace cv;
int main()
{
	Mat image=imread("E:\\图片\\lena.jpg");
	Mat image_blurred;
	//blur image with a Gaussian kernel to remove edge noise
	GaussianBlur(image,image_blurred,Size(3,3),0,0);
	//Convert to gray
	Mat image_gray;
	cvtColor(image_blurred,image_gray,CV_RGB2GRAY);
	//Gradients in X and Y directions
	Mat grad_x,grad_y;
	Scharr(image_gray,grad_x,CV_32F,1,0);
	Scharr(image_gray,grad_x,CV_32F,0,1);
	//Calculate overall gradient
	pow(grad_x,2,grad_x);
	pow(grad_y,2,grad_y);
	Mat grad=grad_x+grad_y;
	sqrt(grad,grad);
	//Display
	namedWindow("Original image");
	namedWindow("Scharr edges");
	//Convert to 8 bit depth for display
	Mat edges;
	grad.convertTo(edges,CV_8U);
	imshow("Original image",image);
	imshow("Scharr edges",edges);
	while(char(waitKey(1))!='q'){}
	return 0;
}

原始图像：

效果图：