Road sign detection and recognition by OpenCV in c

#include <opencv2/opencv.hpp>

int main() {
    // Step 1: Read input image
    cv::Mat inputImage = cv::imread("path/to/your/image.jpg");

    // Step 2: Convert image to grayscale
    cv::Mat grayscaleImage;
    cv::cvtColor(inputImage, grayscaleImage, cv::COLOR_BGR2GRAY);

    // Step 3: Apply GaussianBlur to reduce noise and improve detection
    cv::Mat blurredImage;
    cv::GaussianBlur(grayscaleImage, blurredImage, cv::Size(5, 5), 0);

    // Step 4: Apply Canny edge detection
    cv::Mat edgesImage;
    cv::Canny(blurredImage, edgesImage, 50, 150);

    // Step 5: Find contours in the edges image
    std::vector<std::vector<cv::Point>> contours;
    cv::findContours(edgesImage, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);

    // Step 6: Iterate through contours and filter based on area to find potential road signs
    for (const auto& contour : contours) {
        double area = cv::contourArea(contour);
        if (area > 1000) {
            // Step 7: Draw bounding rectangle around potential road sign
            cv::Rect boundingRect = cv::boundingRect(contour);
            cv::rectangle(inputImage, boundingRect, cv::Scalar(0, 255, 0), 2);

            // Step 8: Perform character recognition (OCR) if needed

            // Step 9: Print information or take further actions based on recognition results
        }
    }

    // Step 10: Display the result
    cv::imshow("Road Sign Detection", inputImage);
    cv::waitKey(0);

    return 0;
}