Opencv颜色识别,开闭

#include 
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"


using namespace cv;
using namespace std;

static void on_imgThresholded(int, void*);

int iLowH = 0;
int iHighH = 75;

int iLowS = 0;
int iHighS = 255;

int iLowV = 0;
int iHighV = 255;
Mat imgThresholded;
Mat imgOriginal;
Mat imgHSV;
vector hsvSplit;

void on_imgThresholded(int, void*)
{
    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


}

int main()
{
    imgOriginal = imread("pyrMeanShiftFiltering_RGB.jpg");

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

    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);
    //imshow("HSV",imgHSV);


    createTrackbar("LowH", "Control", &iLowH, 179, on_imgThresholded); //Hue (0 - 179)
    createTrackbar("HighH", "Control", &iHighH, 179, on_imgThresholded);

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

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

    on_imgThresholded(0, 0);



    waitKey(0);
    return 0;

}