I rewrite this program ...!
I am using OpenCV 2.4.3
see this code:
#include <opencv/ highgui.h>
#include <opencv/ cv.h>
#include <opencv/ cxcore.h>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
using namespace cv;
using namespace std;
int main(int, char**) {
Mat src; Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
cv::Mat frame;
VideoCapture capture;
capture.open(0);
while(true) {
capture.read(frame);
Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
cvtColor( frame,src_gray, CV_BGR2GRAY ); // produces out2, a one-channel image (CV_8UC1)
blur( src_gray, src_gray, Size(5,5) );
threshold( src_gray, threshold_output, thresh, max_thresh, CV_THRESH_BINARY_INV);
findContours( threshold_output, contours, hierarchy,CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Find the rotated rectangles
vector<RotatedRect> minRect( contours.size() );
for( int i = 0; i < contours.size(); i++ )
{
minRect[i] = minAreaRect( Mat(contours[i]) );
}
/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
for( int i = 0; i < contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0,0), rng.uniform(0,0), rng.uniform(250,250) );
// contour
drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
// rotated rectangle
Point2f rect_points[4]; minRect[i].points( rect_points );
for(int j = 0; j < 4; j++ )
line( frame, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
}
/// Show in a window
namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
imshow( "Contours", frame );
int c= cvWaitKey(10);
if ((char) c==72) break;
}
return 0;
}
C:\fakepath\main.jpg
I hope this can help anyone who needs ..! : D