我正在开发一个实时运动检测程序。在使用背景相减法后,我发现我的不同图像中有许多轮廓线。我想问是否有任何方法可以将这些轮廓合并在一起或者创建一个较大的矩形框包含所有的轮廓线?
现在的情况是: http://singhgaganpreet.files.wordpress.com/2012/07/motioncolour.jpg 这是我的代码:
现在的情况是: http://singhgaganpreet.files.wordpress.com/2012/07/motioncolour.jpg 这是我的代码:
#include <iostream>
#include <OpenCV/cv.h>
#include <OPenCV/highgui.h>
using namespace cv;
using namespace std;
CvRect rect;
CvSeq* contours = 0;
CvMemStorage* storage = NULL;
CvCapture *cam;
IplImage *currentFrame, *currentFrame_grey, *differenceImg, *oldFrame_grey;
bool first = true;
int main(int argc, char* argv[])
{
//Create a new movie capture object.
cam = cvCaptureFromCAM(0);
//create storage for contours
storage = cvCreateMemStorage(0);
//capture current frame from webcam
currentFrame = cvQueryFrame(cam);
//Size of the image.
CvSize imgSize;
imgSize.width = currentFrame->width;
imgSize.height = currentFrame->height;
//Images to use in the program.
currentFrame_grey = cvCreateImage( imgSize, IPL_DEPTH_8U, 1);
while(1)
{
currentFrame = cvQueryFrame( cam );
if( !currentFrame ) break;
//Convert the image to grayscale.
cvCvtColor(currentFrame,currentFrame_grey,CV_RGB2GRAY);
if(first) //Capturing Background for the first time
{
differenceImg = cvCloneImage(currentFrame_grey);
oldFrame_grey = cvCloneImage(currentFrame_grey);
cvConvertScale(currentFrame_grey, oldFrame_grey, 1.0, 0.0);
first = false;
continue;
}
//Minus the current frame from the moving average.
cvAbsDiff(oldFrame_grey,currentFrame_grey,differenceImg);
//bluring the differnece image
cvSmooth(differenceImg, differenceImg, CV_BLUR);
//apply threshold to discard small unwanted movements
cvThreshold(differenceImg, differenceImg, 25, 255, CV_THRESH_BINARY);
//find contours
cvFindContours( differenceImg, storage, &contours );
//draw bounding box around each contour
for(; contours!=0; contours = contours->h_next)
{
rect = cvBoundingRect(contours, 0); //extract bounding box for current contour
//drawing rectangle
cvRectangle(currentFrame,
cvPoint(rect.x, rect.y),
cvPoint(rect.x+rect.width, rect.y+rect.height),
cvScalar(0, 0, 255, 0),
2, 8, 0);
}
//display colour image with bounding box
cvShowImage("Output Image", currentFrame);
//display threshold image
cvShowImage("Difference image", differenceImg);
//New Background
cvConvertScale(currentFrame_grey, oldFrame_grey, 1.0, 0.0);
//clear memory and contours
cvClearMemStorage( storage );
contours = 0;
//press Esc to exit
char c = cvWaitKey(33);
if( c == 27 ) break;
}
// Destroy the image & movies objects
cvReleaseImage(&oldFrame_grey);
cvReleaseImage(&differenceImg);
cvReleaseImage(¤tFrame);
cvReleaseImage(¤tFrame_grey);
//cvReleaseCapture(&cam);
return 0;
}