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使用c++视觉处理----canny 边缘检测、sobel边缘检测、scharr 滤波边缘检测

news 2025/7/20 3:19:30

使用c++视觉处理canny 边缘检测、sobel边缘检测、scharr 滤波边缘检测

#include <opencv2/opencv.hpp>int main() {// 读取图像cv::Mat image = cv::imread("1.jpg", cv::IMREAD_GRAYSCALE); // 转为灰度图像if (image.empty()) {std::cerr << "无法加载图像" << std::endl;return -1;}// 创建用于显示结果的窗口cv::namedWindow("边缘检测结果", cv::WINDOW_AUTOSIZE);// Canny边缘检测cv::Mat cannyEdges;cv::Canny(image, cannyEdges, 50, 150); // 50和150是低阈值和高阈值// Sobel边缘检测cv::Mat sobelX, sobelY;cv::Sobel(image, sobelX, CV_16S, 1, 0);cv::Sobel(image, sobelY, CV_16S, 0, 1);cv::Mat sobelEdges;cv::convertScaleAbs(sobelX, sobelX);cv::convertScaleAbs(sobelY, sobelY);cv::addWeighted(sobelX, 0.5, sobelY, 0.5, 0, sobelEdges);// Scharr滤波边缘检测cv::Mat scharrX, scharrY;cv::Scharr(image, scharrX, CV_16S, 1, 0);cv::Scharr(image, scharrY, CV_16S, 0, 1);cv::Mat scharrEdges;cv::convertScaleAbs(scharrX, scharrX);cv::convertScaleAbs(scharrY, scharrY);cv::addWeighted(scharrX, 0.5, scharrY, 0.5, 0, scharrEdges);// 显示结果cv::imshow("原始图像", image);cv::imshow("Canny边缘检测", cannyEdges);cv::imshow("Sobel边缘检测", sobelEdges);cv::imshow("Scharr边缘检测", scharrEdges);cv::waitKey(0);return 0;
}

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调用本地相机实时检测：canny 边缘检测、sobel边缘检测、scharr 滤波边缘检测

#include <opencv2/opencv.hpp>int main() {cv::VideoCapture cap(0); // 打开本地相机（通常是0号摄像头）if (!cap.isOpened()) {std::cerr << "无法打开相机" << std::endl;return -1;}// 创建用于显示结果的窗口cv::namedWindow("实时边缘检测", cv::WINDOW_AUTOSIZE);while (true) {cv::Mat frame;cap >> frame; // 从相机捕获一帧图像if (frame.empty()) {std::cerr << "无法捕获图像" << std::endl;break;}// 转换为灰度图像cv::Mat grayImage;cv::cvtColor(frame, grayImage, cv::COLOR_BGR2GRAY);// Canny边缘检测cv::Mat cannyEdges;cv::Canny(grayImage, cannyEdges, 50, 150); // 50和150是低阈值和高阈值// Sobel边缘检测cv::Mat sobelX, sobelY;cv::Sobel(grayImage, sobelX, CV_16S, 1, 0);cv::Sobel(grayImage, sobelY, CV_16S, 0, 1);cv::Mat sobelEdges;cv::convertScaleAbs(sobelX, sobelX);cv::convertScaleAbs(sobelY, sobelY);cv::addWeighted(sobelX, 0.5, sobelY, 0.5, 0, sobelEdges);// Scharr滤波边缘检测cv::Mat scharrX, scharrY;cv::Scharr(grayImage, scharrX, CV_16S, 1, 0);cv::Scharr(grayImage, scharrY, CV_16S, 0, 1);cv::Mat scharrEdges;cv::convertScaleAbs(scharrX, scharrX);cv::convertScaleAbs(scharrY, scharrY);cv::addWeighted(scharrX, 0.5, scharrY, 0.5, 0, scharrEdges);// 显示实时边缘检测结果cv::imshow("原始图像", frame);cv::imshow("Canny边缘检测", cannyEdges);cv::imshow("Sobel边缘检测", sobelEdges);cv::imshow("Scharr边缘检测", scharrEdges);// 检查用户是否按下ESC键，然后退出循环if (cv::waitKey(1) == 27) {break;}}return 0;
}