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2b106db02f
Also fixed some typos and code alignment Also adapted tutorial CPP samples Fixed some identation problems
68 lines
1.4 KiB
C++
68 lines
1.4 KiB
C++
#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include <stdio.h>
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using namespace cv;
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using namespace std;
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int edgeThresh = 1;
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Mat image, gray, edge, cedge;
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// define a trackbar callback
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static void onTrackbar(int, void*)
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{
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blur(gray, edge, Size(3,3));
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// Run the edge detector on grayscale
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Canny(edge, edge, edgeThresh, edgeThresh*3, 3);
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cedge = Scalar::all(0);
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image.copyTo(cedge, edge);
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imshow("Edge map", cedge);
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}
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static void help()
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{
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printf("\nThis sample demonstrates Canny edge detection\n"
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"Call:\n"
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" /.edge [image_name -- Default is fruits.jpg]\n\n");
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}
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const char* keys =
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{
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"{1| |fruits.jpg|input image name}"
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};
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int main( int argc, const char** argv )
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{
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help();
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CommandLineParser parser(argc, argv, keys);
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string filename = parser.get<string>("1");
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image = imread(filename, 1);
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if(image.empty())
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{
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printf("Cannot read image file: %s\n", filename.c_str());
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help();
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return -1;
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}
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cedge.create(image.size(), image.type());
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cvtColor(image, gray, COLOR_BGR2GRAY);
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// Create a window
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namedWindow("Edge map", 1);
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// create a toolbar
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createTrackbar("Canny threshold", "Edge map", &edgeThresh, 100, onTrackbar);
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// Show the image
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onTrackbar(0, 0);
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// Wait for a key stroke; the same function arranges events processing
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waitKey(0);
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return 0;
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}
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