OpenCV computer vision (xv) canny edge detection algorithm algorithm

API Description:

 

 

 

 

#include<opencv2/opencv.hpp>
#include<iostream>

using namespace std;
using namespace cv;

Mat src, dst;

int threshold_value = 38;
int threshold_max = 255;

void canny_demo(int, void*);

int main(int argc, char** argv) {
	src = imread("D:/OpenCVprj/image/test3.jpg");
	if (!src.data) {
		printf("Coluld not load image.....\n");
		return -1;
	}
	imshow("src", src);
	namedWindow("dst", CV_WINDOW_AUTOSIZE);
	createTrackbar("threshold", "dst", &threshold_value, threshold_max, canny_demo);
	canny_demo(0, 0);
	waitKey(0);
	return 0;
}

void canny_demo(int, void*) {
	Src_gray MAT, TEMP;
	cvtColor (the src, src_gray, COLOR_BGR2GRAY); 
	Blur (src_gray, src_gray, Size (. 3,. 3), Point (-1, -1)); 
	the Canny (src_gray, TEMP, threshold_value, threshold_value * 2,. 3, to true); 
	DST .create (src.size (), src.type ()); 
	src.copyTo (DST, TEMP); // first: A.copyTo (B), shows a matrix copy A to B; and the second : A.copyTo (B, mask), mask represents an additional mask to obtain a matrix B. 
	imshow ( "DST", DST); 
}