Open Source Computer Vision Library https://opencv.org/
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#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <ctype.h>
#include <stdio.h>
#include <iostream>
using namespace cv;
using namespace std;
static void help()
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{
cout <<
"\nThis program demonstrates Laplace point/edge detection using OpenCV function Laplacian()\n"
"It captures from the camera of your choice: 0, 1, ... default 0\n"
"Call:\n"
"./laplace [camera #, default 0]\n" << endl;
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}
int sigma = 3;
int smoothType = CV_GAUSSIAN;
int main( int argc, char** argv )
{
VideoCapture cap;
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help();
if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
cap.open(argc == 2 ? argv[1][0] - '0' : 0);
else if( argc >= 2 )
{
cap.open(argv[1]);
if( cap.isOpened() )
cout << "Video " << argv[1] <<
": width=" << cap.get(CV_CAP_PROP_FRAME_WIDTH) <<
", height=" << cap.get(CV_CAP_PROP_FRAME_HEIGHT) <<
", nframes=" << cap.get(CV_CAP_PROP_FRAME_COUNT) << endl;
if( argc > 2 && isdigit(argv[2][0]) )
{
int pos;
sscanf(argv[2], "%d", &pos);
cout << "seeking to frame #" << pos << endl;
cap.set(CV_CAP_PROP_POS_FRAMES, pos);
}
}
if( !cap.isOpened() )
{
cout << "Could not initialize capturing...\n";
return -1;
}
namedWindow( "Laplacian", 0 );
createTrackbar( "Sigma", "Laplacian", &sigma, 15, 0 );
Mat smoothed, laplace, result;
for(;;)
{
Mat frame;
cap >> frame;
if( frame.empty() )
break;
int ksize = (sigma*5)|1;
if(smoothType == CV_GAUSSIAN)
GaussianBlur(frame, smoothed, Size(ksize, ksize), sigma, sigma);
else if(smoothType == CV_BLUR)
blur(frame, smoothed, Size(ksize, ksize));
else
medianBlur(frame, smoothed, ksize);
Laplacian(smoothed, laplace, CV_16S, 5);
convertScaleAbs(laplace, result, (sigma+1)*0.25);
imshow("Laplacian", result);
int c = waitKey(30);
if( c == ' ' )
smoothType = smoothType == CV_GAUSSIAN ? CV_BLUR : smoothType == CV_BLUR ? CV_MEDIAN : CV_GAUSSIAN;
if( c == 'q' || c == 'Q' || (c & 255) == 27 )
break;
}
return 0;
}