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threshold_channels.cc
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threshold_channels.cc
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// Example : threshold R,G,B channels of an iput image source
// usage: prog {<image_name> | <video_name>}
// Author : Toby Breckon, [email protected]
// Copyright (c) 2007 School of Engineering, Cranfield University
// License : LGPL - http://www.gnu.org/licenses/lgpl.html
#include "cv.h" // open cv general include file
#include "highgui.h" // open cv GUI include file
#include <stdio.h>
#include <algorithm> // contains max() function (amongst others)
using namespace cv; // use c++ namespace so the timing stuff works consistently
/******************************************************************************/
// setup the camera index properly based on OS platform
// 0 in linux gives first camera for v4l
//-1 in windows gives first device or user dialog selection
#ifdef linux
#define CAMERA_INDEX 0
#else
#define CAMERA_INDEX -1
#endif
/******************************************************************************/
int main( int argc, char** argv )
{
IplImage* img; // input image object
IplImage* redImg = NULL; // red image channel
IplImage* greenImg = NULL; // green image channel
IplImage* blueImg = NULL; // blue image channel
IplImage* thresholdedImg = NULL; // output image object
char const * windowName1R = "OPENCV: RED Channel thresholding"; // window name
char const * windowName1G = "OPENCV: GREEN Channel thresholding"; // window name
char const * windowName1B = "OPENCV: BLUE Channel thresholding"; // window name
char const * windowName2R = "OPENCV: RED Channel image"; // window name
char const * windowName2G = "OPENCV: GREEN Channel image"; // window name
char const * windowName2B = "OPENCV: BLUE Channel image"; // window name
int thresholdR = 150; // starting threshold value
int thresholdG = 150; // starting threshold value
int thresholdB = 150; // starting threshold value
CvCapture* capture = NULL; // capture object
bool keepProcessing = true; // loop control flag
char key; // user input
int EVENT_LOOP_DELAY = 40; // delay for GUI window
// 40 ms equates to 1000ms/25fps = 40ms per frame
// if command line arguments are provided try to read image/video_name
// otherwise default to capture from attached H/W camera
if(
( argc == 2 && (img = cvLoadImage( argv[1], 1)) != 0 ) ||
( argc == 2 && (capture = cvCreateFileCapture( argv[1] )) != 0 ) ||
( argc != 2 && (capture = cvCreateCameraCapture( 0 )) != 0 )
)
{
// create window objects
cvNamedWindow(windowName1B, 1 );
cvNamedWindow(windowName1G, 1 );
cvNamedWindow(windowName1R, 1 );
cvNamedWindow(windowName2B, 1 );
cvNamedWindow(windowName2G, 1 );
cvNamedWindow(windowName2R, 1 );
// add adjustable trackbar for threshold parameters
cvCreateTrackbar("Threshold", windowName1B, &thresholdB, 255, NULL);
cvCreateTrackbar("Threshold", windowName1G, &thresholdG, 255, NULL);
cvCreateTrackbar("Threshold", windowName1R, &thresholdR, 255, NULL);
// if capture object in use (i.e. video/camera)
// get initial image from capture object
if (capture) {
// cvQueryFrame s just a combination of cvGrabFrame
// and cvRetrieveFrame in one call.
img = cvQueryFrame(capture);
if(!img){
if (argc == 2){
printf("End of video file reached\n");
} else {
printf("ERROR: cannot get next fram from camera\n");
}
exit(0);
}
}
// create output images
thresholdedImg = cvCreateImage(cvSize(img->width,img->height),
img->depth, 1);
redImg = cvCreateImage(cvSize(img->width,img->height),
img->depth, 1);
redImg->origin = img->origin;
greenImg = cvCreateImage(cvSize(img->width,img->height),
img->depth, 1);
greenImg->origin = img->origin;
blueImg = cvCreateImage(cvSize(img->width,img->height),
img->depth, 1);
blueImg->origin = img->origin;
// start main loop
while (keepProcessing) {
int64 timeStart = getTickCount(); // get time at start of loop
// if capture object in use (i.e. video/camera)
// get image from capture object
if (capture) {
// cvQueryFrame s just a combination of cvGrabFrame
// and cvRetrieveFrame in one call.
img = cvQueryFrame(capture);
if(!img){
if (argc == 2){
printf("End of video file reached\n");
} else {
printf("ERROR: cannot get next fram from camera\n");
}
exit(0);
}
}
// if input is not already single channel, extract channels
if (img->nChannels > 1){
cvSplit(img, blueImg, greenImg, redImg, NULL); // remember BGR ordering!
} else {
redImg = greenImg = blueImg = img;
}
// display images
cvShowImage( windowName2B, blueImg );
cvShowImage( windowName2G, greenImg );
cvShowImage( windowName2R, redImg );
// threshold each and display them
cvThreshold(blueImg, thresholdedImg, thresholdB, 255, CV_THRESH_BINARY);
cvShowImage( windowName1B, thresholdedImg );
cvThreshold(greenImg, thresholdedImg, thresholdG, 255, CV_THRESH_BINARY);
cvShowImage( windowName1G, thresholdedImg );
cvThreshold(redImg, thresholdedImg, thresholdR, 255, CV_THRESH_BINARY);
cvShowImage( windowName1R, thresholdedImg );
// start event processing loop (very important,in fact essential for GUI)
// 4 ms roughly equates to 100ms/25fps = 4ms per frame
// here we take account of processing time for the loop by subtracting the time
// taken in ms. from this (1000ms/25fps = 40ms per frame) value whilst ensuring
// we get a +ve wait time
key = cvWaitKey((int) std::max(2.0, EVENT_LOOP_DELAY -
(((getTickCount() - timeStart) / getTickFrequency()) * 1000)));
if (key == 'x'){
// if user presses "x" then exit
printf("Keyboard exit requested : exiting now - bye!\n");
keepProcessing = false;
}
}
// destroy window objects
// (triggered by event loop *only* window is closed)
cvDestroyAllWindows();
// destroy image objects (if it does not originate from a capture object)
if (!capture){
cvReleaseImage( &img );
}
cvReleaseImage( &redImg );
cvReleaseImage( &blueImg );
cvReleaseImage( &greenImg );
cvReleaseImage( &thresholdedImg );
// all OK : main returns 0
return 0;
}
// not OK : main returns -1
return -1;
}
/******************************************************************************/