77 lines
1.7 KiB
C++
77 lines
1.7 KiB
C++
/**
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* @file CannyDetector_Demo.cpp
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* @brief Sample code showing how to detect edges using the Canny Detector
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* @author OpenCV team
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*/
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include <stdlib.h>
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#include <stdio.h>
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using namespace cv;
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/// Global variables
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Mat src, src_gray;
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Mat dst, detected_edges;
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int edgeThresh = 1;
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int lowThreshold;
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int const max_lowThreshold = 100;
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int ratio = 3;
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int kernel_size = 3;
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const char* window_name = "Edge Map";
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/**
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* @function CannyThreshold
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* @brief Trackbar callback - Canny thresholds input with a ratio 1:3
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*/
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static void CannyThreshold(int, void*)
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{
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/// Reduce noise with a kernel 3x3
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blur( src_gray, detected_edges, Size(3,3) );
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/// Canny detector
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Canny( detected_edges, detected_edges, lowThreshold, lowThreshold*ratio, kernel_size );
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/// Using Canny's output as a mask, we display our result
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dst = Scalar::all(0);
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src.copyTo( dst, detected_edges);
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imshow( window_name, dst );
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}
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/**
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* @function main
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*/
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int main( int, char** argv )
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{
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/// Load an image
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src = imread( argv[1] );
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if( !src.data )
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{ return -1; }
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/// Create a matrix of the same type and size as src (for dst)
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dst.create( src.size(), src.type() );
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/// Convert the image to grayscale
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cvtColor( src, src_gray, CV_BGR2GRAY );
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/// Create a window
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namedWindow( window_name, CV_WINDOW_AUTOSIZE );
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/// Create a Trackbar for user to enter threshold
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createTrackbar( "Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold );
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/// Show the image
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CannyThreshold(0, 0);
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/// Wait until user exit program by pressing a key
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waitKey(0);
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return 0;
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}
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