颜色识别opencv+trackbar调节目标颜色hsv的阈值

颜色识别，trackbar调节颜色阈值

#include <iostream>#include "opencv2/highgui/highgui.hpp"#include "opencv2/imgproc/imgproc.hpp"using namespace cv;using namespace std;Mat imgOriginal;int iLowH = 100;int iHighH = 140;int iLowS = 90;int iHighS = 255;int iLowV = 90;int iHighV = 255;void callback(int, void*);int main(int argc, char** argv){namedWindow("Control", CV_WINDOW_AUTOSIZE); //create a window called "Control"imgOriginal = imread("solder1.jpg");resize(imgOriginal, imgOriginal, Size(400, 300));imshow("Original", imgOriginal); //show the original image//Create trackbars in "Control" windowcreateTrackbar("LowH", "Control", &iLowH, 179, on_mouse); //Hue (0 - 179)createTrackbar("HighH", "Control", &iHighH, 179, on_mouse);createTrackbar("LowS", "Control", &iLowS, 255, on_mouse); //Saturation (0 - 255)createTrackbar("HighS", "Control", &iHighS, 255, on_mouse);createTrackbar("LowV", "Control", &iLowV, 255, on_mouse); //Value (0 - 255)createTrackbar("HighV", "Control", &iHighV, 255, on_mouse);waitKey(0);return 0;}void callback(int ,void*){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}