(opencv)将轮廓合并在一起 [英] (opencv) merge contours together
问题描述
我正在执行实时运动检测程序.使用背景减法后,我发现在不同的图像中有很多轮廓.我想问问有什么方法可以将这些轮廓合并在一起或使一个更大的矩形包含所有轮廓吗?
I am doing a real time motion detection program. I find that there are a lot of contour made in my different image after i used background subtraction method . i would like to ask is there any method that can merge these contour together or make a larger rect contain all the contours?
我现在已经完成的案件
http://singhgaganpreet.files.wordpress.com/2012/07/motioncolour.jpg
我的代码在这里
the case now i have been done
http://singhgaganpreet.files.wordpress.com/2012/07/motioncolour.jpg
My code is here
#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;
}
推荐答案
您尝试过吗?
std::vector<cv::Point> points;
points.insert(points.end(), contour1.begin(), contour1.end());
points.insert(points.end(), contour2.begin(), contour2.end());
convexHull(cv::Mat(points), contour);
PS.对于某些应用程序,最好使用roxPoly()而不是convexHull().两者都尝试.
PS. For some applications, it may be better to use approxPoly() rather than convexHull(). Just try both.
PPS.尝试使用高斯平滑生成的轮廓.这也可能会有帮助.
PPS. Try smoothing the resulting contour with gaussian. It also can be helpful.
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