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hsvviewer.cc
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// Example : hsv channels display of image / video / camera
// usage: prog {<image_name> | <video_name>}
// Author : Toby Breckon, toby.breckon@cranfield.ac.uk
// 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 = NULL; // image object
IplImage* HSVimg = NULL; // HSV image object
IplImage* HSVimg_out = NULL; // HSV image object
CvCapture* capture = NULL; // capture object
char const * windowName = "RGB Original Image"; // window name
char const * windowNameH = "Hue Channel"; // window name
char const * windowNameS = "Saturation Channel"; // window name
char const * windowNameV = "Variance Channel"; // window name
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 object (use flag=0 to allow resize, 1 to auto fix size)
cvNamedWindow(windowName, 0);
cvNamedWindow(windowNameH, 0);
cvNamedWindow(windowNameS, 0);
cvNamedWindow(windowNameV, 0);
// define required channel images for display processing
// (if using a capture object we need to get a frame first to get the size)
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);
}
}
// setup channel images
HSVimg = cvCloneImage(img);
IplImage* h_channel = cvCreateImage(cvSize(img->width, img->height),
img->depth, 1);
IplImage* s_channel = cvCreateImage(cvSize(img->width, img->height),
img->depth, 1);
IplImage* v_channel = cvCreateImage(cvSize(img->width, img->height),
img->depth, 1);
h_channel->origin = img->origin;
s_channel->origin = img->origin;
v_channel->origin = img->origin;
// setup up output channels/image for colour Hue visualisation
HSVimg_out = cvCloneImage(img);
IplImage* s_channel_out = cvCreateImage(cvSize(img->width, img->height),
img->depth, 1);
IplImage* v_channel_out = cvCreateImage(cvSize(img->width, img->height),
img->depth, 1);
s_channel_out->origin = img->origin;
v_channel_out->origin = img->origin;
cvSet(s_channel_out, cvScalar(255), NULL); // set sat. to max
cvSet(v_channel_out, cvScalar(255), NULL); // set val. to max
// 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);
}
} else {
// if not a capture object set event delay to zero so it waits
// indefinitely (as single image file, no need to loop)
EVENT_LOOP_DELAY = 0;
}
// colour transform images
cvCvtColor(img, HSVimg, CV_BGR2HSV);
// split image into channels remembering BGR ordering of OpenCV
cvSplit(HSVimg, h_channel, s_channel, v_channel, NULL);
// merge the Hue channel with the pre-set max. output channels
// so that the single channel Hue image will become a three channel
// RGB image displaying the Hue in colour
// (we can over-write the previous HSV as the channels are copied)
cvMerge(h_channel, s_channel_out, v_channel_out, NULL, HSVimg);
cvCvtColor(HSVimg, HSVimg_out, CV_HSV2BGR);
// display images in windows
cvShowImage( windowName, img );
cvShowImage( windowNameH, h_channel );
cvShowImage( windowNameS, s_channel );
cvShowImage( windowNameV, v_channel );
// 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 object (if it does not originate from a capture object)
if (!capture){
cvReleaseImage( &img );
}
cvReleaseImage( &h_channel );
cvReleaseImage( &s_channel );
cvReleaseImage( &v_channel );
cvReleaseImage( &s_channel_out );
cvReleaseImage( &v_channel_out );
cvReleaseImage( &HSVimg );
cvReleaseImage( &HSVimg_out );
// all OK : main returns 0
return 0;
}
// not OK : main returns -1
return -1;
}
/******************************************************************************/