OpenCV is a useful library comprised of many functions for computer vision and other related image processing fields. Here, I present a sample using the video processing capabilities of the latest OpenCV 2.2 library.
#include "opencv2/opencv.hpp"
int main( int argc, char** argv ) {
cvNamedWindow( "Canny", CV_WINDOW_AUTOSIZE );
// GET video
CvCapture* capture = cvCreateFileCapture( "sample.avi" );
if (!capture ) {
printf( "Unable to read input video." );
return 0;
}
double fps = cvGetCaptureProperty(
capture,
CV_CAP_PROP_FPS
);
// Read frame
IplImage* frame = cvQueryFrame( capture );
// INIT the video writer
CvVideoWriter *writer = cvCreateVideoWriter(
"out.avi",
CV_FOURCC('M', 'J', 'P', 'G'),
fps,
cvGetSize(frame)
);
// DECLARE greyscale image to hold the result
IplImage* edges = cvCreateImage(
cvGetSize(frame)
, IPL_DEPTH_8U
, 1
);
while(1) {
// PERFORM canny edge detection
cvCvtColor( frame, edges, CV_BGR2GRAY );
cvCanny( edges, edges, 1.0, 1.0, 3 );
// WRITE the result
cvCvtColor( edges, frame, CV_GRAY2BGR );
cvWriteFrame( writer, frame );
cvShowImage( "Canny", frame );
// READ next frame
frame = cvQueryFrame( capture );
if( !frame ) break;
char c = cvWaitKey(33);
if( c == 27 ) break;
}
// CLEAN everything
cvReleaseImage( &edges );
cvReleaseImage( &frame );
cvReleaseCapture( &capture );
cvReleaseVideoWriter( &writer );
cvDestroyWindow( "Canny" );
return 0;
}
번역
