Simulation of Computer Vision Algorithms Gaming Project in C++
Requirements: Install OpenCV library. For example, on Ubuntu, you can use: sudo apt-get install libopencv-dev. C++ Program (edge_detection.cpp)
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#include <opencv2/opencv.hpp> #include <iostream> int main() { // Load the grayscale image cv::Mat image = cv::imread("input.png", cv::IMREAD_GRAYSCALE); if (image.empty()) { std::cerr << "Error loading image!" << std::endl; return -1; } // Create matrices for the Sobel X and Y gradients cv::Mat gradX, gradY; cv::Mat absGradX, absGradY; cv::Mat edges; // Compute the Sobel X and Y gradients cv::Sobel(image, gradX, CV_16S, 1, 0, 3); cv::Sobel(image, gradY, CV_16S, 0, 1, 3); // Convert gradients to absolute values cv::convertScaleAbs(gradX, absGradX); cv::convertScaleAbs(gradY, absGradY); // Combine the gradients to get the edge magnitude cv::addWeighted(absGradX, 0.5, absGradY, 0.5, 0, edges); // Display the results cv::imshow("Original Image", image); cv::imshow("Sobel Edges", edges); // Wait for a key press and exit cv::waitKey(0); return 0; } |
Explanation: Include OpenCV Headers: #include <opencv2/opencv.hpp>: Includes the necessary OpenCV headers. Load Image: cv::Mat image = cv::imread(“input.png”, cv::IMREAD_GRAYSCALE);: Loads an image in grayscale mode. Replace “input.png” with the path to your image file. Compute Gradients: cv::Mat …
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