opencv 3.0

#include <iostream>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "cv.h"
#include "highgui.h"
using namespace cv;
using namespace std;

int main( int argc, char** argv )
{
//VideoCapture cap(0); //capture the video from web cam

//if ( !cap.isOpened() )  // if not success, exit program
//{
//     cout << "Cannot open the web cam" << endl;
//     return -1;
//}

namedWindow("Control", CV_WINDOW_AUTOSIZE); //create a window called "Control"

int iLowH = 25;
int iHighH = 67;
int iLowS = 42;
int iHighS = 180;

int iLowV = 0;
int iHighV = 255;
/*int iLowH = 15;
int iHighH = 26;
int iLowS = 101;
int iHighS = 255;

int iLowV = 86;
/* int iHighV = 255;*/
/*int iLowH = 0;
int iHighH = 4;
int iLowS = 77;
int iHighS = 255;

int iLowV = 40;
int iHighV = 170;*/
//Create trackbars in "Control" window
cvCreateTrackbar("LowH", "Control", &iLowH, 179); //Hue (0 - 179)
cvCreateTrackbar("HighH", "Control", &iHighH, 179);

cvCreateTrackbar("LowS", "Control", &iLowS, 255); //Saturation (0 - 255)
cvCreateTrackbar("HighS", "Control", &iHighS, 255);

cvCreateTrackbar("LowV", "Control", &iLowV, 255); //Value (0 - 255)
cvCreateTrackbar("HighV", "Control", &iHighV, 255);

while (true)
{
Mat imgOriginal;

imgOriginal=cvLoadImage("E:\\555.jpg");

Mat imgHSV;
vector<Mat> hsvSplit;
cvtColor(imgOriginal, imgHSV, COLOR_BGR2HSV); //Convert the captured frame from BGR to HSV

////因为我们读取的是彩色图，直方图均衡化需要在HSV空间做
split(imgHSV, hsvSplit);
equalizeHist(hsvSplit[2],hsvSplit[2]);
merge(hsvSplit,imgHSV);
Mat imgThresholded;

inRange(imgHSV, Scalar(iLowH, iLowS, iLowV), Scalar(iHighH, iHighS, iHighV), imgThresholded); //Threshold the image

//开操作 (去除一些噪点)
Mat element = getStructuringElement(MORPH_RECT, Size(5, 5));
morphologyEx(imgThresholded, imgThresholded, MORPH_OPEN, element);

//闭操作 (连接一些连通域)
morphologyEx(imgThresholded, imgThresholded, MORPH_CLOSE, element);

CvMemStorage* storage = cvCreateMemStorage();
CvSeq * circles=NULL;
//Canny(imgThresholded,imgThresholded,3, 3);

imshow("Thresholded Image", imgThresholded); //show the thresholded image
imshow("Original", imgOriginal); //show the original image

char key = (char) waitKey(300);
if(key == 27)
break;
}

return 0;

}