妈妈再也不用担心我了

#include <string>
#include <iostream>
#include <opencv2/opencv.hpp>
#include<opencv2/imgproc/imgproc.hpp>
#include<cv.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/types_c.h>
#include <fstream>  

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 = 100;
  int iHighH = 140;

  int iLowS = 90; 
  int iHighS = 255;

  int iLowV = 90;
  int iHighV = 255;

  //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;

bool bSuccess = cap.read(imgOriginal); // read a new frame from video

 if (!bSuccess) //if not success, break loop
{
 cout << "Cannot read a frame from video stream" << endl;
 break;
}

   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);

   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;

}

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c++代码rgb2hsv

妈妈再也不用担心我了

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