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void Canny(	InputArray image, 
			OutputArray edges,
			double threshold1, 
			double threshold2,
			int apertureSize = 3, 
			bool L2gradient = false);

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#include <opencv2opencv.hpp> 
#include <iostream>
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
using namespace cv;
int main()
{																//
	VideoCapture capture(0);									//
	//【2】循环显示每一帧											//									
	while (1)													//
	{															//
		Mat image;  //定义一个Mat变量，用于存储每一帧的图像		//	
		capture >> image;  //读取当前帧							//
//================================================================
		Mat gray, detected_edges,dst;
		gray.create(gray.size(), gray.type());
		detected_edges.create(detected_edges.size(), detected_edges.type());
		dst.create(dst.size(), dst.type());
		int kernel_size = 3;
		int ratio = 3;
		double lowThreshold = 65;

		cvtColor(image, gray, CV_BGR2GRAY);
		blur(gray, detected_edges, Size(3, 3));
		Canny(detected_edges, detected_edges, lowThreshold, lowThreshold*ratio, kernel_size);
		dst = Scalar::all(0);
		image.copyTo(dst, detected_edges);
		imshow("out", dst);

//================================================================
																//
																//	
		waitKey(30);  //延时30ms								//
	}															//
	return 0;													//
}																//

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int main()
{
	VideoCapture capture(0);
	//【2】循环显示每一帧
	while (1)													//
	{															//
		Mat image;  //定义一个Mat变量，用于存储每一帧的图像		//	
		capture >> image;  //读取当前帧							//
//================================================================

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Mat gray, detected_edges,dst;
	gray.create(gray.size(), gray.type());
	detected_edges.create(detected_edges.size(), detected_edges.type());
	dst.create(dst.size(), dst.type());

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cvtColor(image, gray, CV_BGR2GRAY);

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blur(gray, detected_edges, Size(3, 3));

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Canny(detected_edges, detected_edges, lowThreshold, lowThreshold*ratio, kernel_size);

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dst = Scalar::all(0);
		image.copyTo(dst, detected_edges);
		imshow("out", dst);