OpenCV 中使用 inRange 进行 HSV 阈值操作

目标

#include <opencv2/opencv.hpp> #include <iostream> using namespace cv; using namespace std; // 定义 HSV 的最大值 const int max_value_H = 360 / 2; // OpenCV 中 H 的范围通常是 0-179 const int max_value_S = 255; const int max_value_V = 255; const string window_capture_name = "视频捕获"; const string window_detection_name = "对象检测"; // 全局变量存储当前阈值范围 int low_H = 0, low_S = 0, low_V = 0; int high_H = max_value_H, high_S = max_value_S, high_V = max_value_V; // 回调函数：低 H 阈值跟踪栏 static void on_low_H_thresh_trackbar(int, void*) { low_H = min(low_H + 1, high_H - 1); setTrackbarPos("低 H", window_detection_name, low_H); } // 回调函数：高 H 阈值跟踪栏 static void on_high_H_thresh_trackbar(int, void*) { high_H = max(high_H - 1, low_H + 1); setTrackbarPos("高 H", window_detection_name, high_H); } // 回调函数：低 S 阈值跟踪栏 static void on_low_S_thresh_trackbar(int, void*) { low_S = min(low_S + 1, high_S - 1); setTrackbarPos("低 S", window_detection_name, low_S); } // 回调函数：高 S 阈值跟踪栏 static void on_high_S_thresh_trackbar(int, void*) { high_S = max(high_S - 1, low_S + 1); setTrackbarPos("高 S", window_detection_name, high_S); } // 回调函数：低 V 阈值跟踪栏 static void on_low_V_thresh_trackbar(int, void*) { low_V = min(low_V + 1, high_V - 1); setTrackbarPos("低 V", window_detection_name, low_V); } // 回调函数：高 V 阈值跟踪栏 static void on_high_V_thresh_trackbar(int, void*) { high_V = max(high_V - 1, low_V + 1); setTrackbarPos("高 V", window_detection_name, high_V); } int main(int argc, char** argv) { // 初始化视频捕获对象 VideoCapture cap(argc > 1 ? atoi(argv[1]) : 0); if (!cap.isOpened()) { cerr << "无法打开摄像头" << endl; return -1; } // 创建窗口 namedWindow(window_capture_name, WINDOW_AUTOSIZE); namedWindow(window_detection_name, WINDOW_AUTOSIZE); // 创建跟踪栏以设置 HSV 值的范围 createTrackbar("低 H", window_detection_name, &low_H, max_value_H, on_low_H_thresh_trackbar); createTrackbar("高 H", window_detection_name, &high_H, max_value_H, on_high_H_thresh_trackbar); createTrackbar("低 S", window_detection_name, &low_S, max_value_S, on_low_S_thresh_trackbar); createTrackbar("高 S", window_detection_name, &high_S, max_value_S, on_high_S_thresh_trackbar); createTrackbar("低 V", window_detection_name, &low_V, max_value_V, on_low_V_thresh_trackbar); createTrackbar("高 V", window_detection_name, &high_V, max_value_V, on_high_V_thresh_trackbar); Mat frame, frame_HSV, frame_threshold; while (true) { cap >> frame; if (frame.empty()) { break; } // 从 BGR 转换到 HSV 色彩空间 cvtColor(frame, frame_HSV, COLOR_BGR2HSV); // 根据 HSV 范围值检测对象 inRange(frame_HSV, Scalar(low_H, low_S, low_V), Scalar(high_H, high_S, high_V), frame_threshold); // 显示原始框架 imshow(window_capture_name, frame); // 显示处理后的阈值框架 imshow(window_detection_name, frame_threshold); // 等待按键退出 char key = (char)waitKey(30); if (key == 'q' || key == 27) { break; } } return 0; }

OpenCV 中使用 inRange 进行 HSV 阈值操作