Image Processing Basics Gaming Project in C++

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main() {
    // Load the image
    Mat image = imread("input.jpg");
    if (image.empty()) {
        cerr << "Error loading image!" << endl;
        return -1;
    }

    // Convert image to grayscale
    Mat grayImage;
    cvtColor(image, grayImage, COLOR_BGR2GRAY);

    // Apply Gaussian blur to the grayscale image
    Mat blurredImage;
    GaussianBlur(grayImage, blurredImage, Size(5, 5), 0);

    // Save the processed image
    if (!imwrite("output.jpg", blurredImage)) {
        cerr << "Error saving image!" << endl;
        return -1;
    }

    cout << "Image processing completed successfully." << endl;

    return 0;
}

#include <iostream>

#include <opencv2/opencv.hpp>

using namespace std;

using namespace cv;

int main() {

// Load the image

Mat image = imread("input.jpg");

if (image.empty()) {

cerr << "Error loading image!" << endl;

return -1;

}

// Convert image to grayscale

Mat grayImage;

cvtColor(image, grayImage, COLOR_BGR2GRAY);

// Apply Gaussian blur to the grayscale image

Mat blurredImage;

GaussianBlur(grayImage, blurredImage, Size(5, 5), 0);

// Save the processed image

if (!imwrite("output.jpg", blurredImage)) {

cerr << "Error saving image!" << endl;

return -1;

}

cout << "Image processing completed successfully." << endl;

return 0;

}

Explanation

Include Libraries: The program includes the OpenCV library for image processing. OpenCV is a popular computer vision library that provides various functions for image manipulation.
Load Image: The imread function loads an image from a specified file path into a Mat object. If the image cannot be loaded, an error message is displayed.
Convert to Grayscale: The cvtColor function converts the loaded image to a grayscale image. Grayscale images are easier to process for many image analysis tasks.
Apply Gaussian Blur: The GaussianBlur function applies a Gaussian blur to the grayscale image. Blurring helps in reducing noise and detail, which is useful for edge detection.
Detect Edges: The Canny function detects edges in the blurred image. The Canny edge detection algorithm finds edges by looking for areas with rapid intensity changes.
Display Images: The namedWindow and imshow functions are used to create windows and display the original and processed images.
Wait for User Input: The waitKey function waits for a key press before closing the image windows.

Image Processing Basics Gaming Project in C++

Explanation

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