Simulation of Image Recognition Gaming Project in C++

#include <iostream>
#include <vector>
#include <algorithm>

const int WIDTH = 5;
const int HEIGHT = 5;
const int THRESHOLD = 128;

class Image {
public:
    Image(const std::vector<std::vector<int>>& pixels) : pixels(pixels) {}

    void applyThreshold() {
        for (int i = 0; i < HEIGHT; ++i) {
            for (int j = 0; j < WIDTH; ++j) {
                pixels[i][j] = (pixels[i][j] >= THRESHOLD) ? 255 : 0;
            }
        }
    }

    void printImage() const {
        for (const auto& row : pixels) {
            for (int pixel : row) {
                std::cout << (pixel == 255 ? '#' : ' ') << ' ';
            }
            std::cout << '\n';
        }
    }

private:
    std::vector<std::vector<int>> pixels;
};

int main() {
    // Example grayscale image (5x5)
    std::vector<std::vector<int>> grayscaleImage = {
        { 10, 50, 150, 200, 250 },
        { 30, 70, 120, 180, 220 },
        { 40, 90, 130, 190, 240 },
        { 60, 100, 140, 170, 210 },
        { 80, 110, 160, 180, 230 }
    };

    Image image(grayscaleImage);

    std::cout << "Original Image:\n";
    image.printImage();

    image.applyThreshold();

    std::cout << "\nThresholded Image:\n";
    image.printImage();

    return 0;
}

#include <iostream>

#include <vector>

#include <algorithm>

const int WIDTH = 5;

const int HEIGHT = 5;

const int THRESHOLD = 128;

class Image {

public:

Image(const std::vector<std::vector<int>>& pixels) : pixels(pixels) {}

void applyThreshold() {

for (int i = 0; i < HEIGHT; ++i) {

for (int j = 0; j < WIDTH; ++j) {

pixels[i][j] = (pixels[i][j] >= THRESHOLD) ? 255 : 0;

}

void printImage() const {

for (const auto& row : pixels) {

for (int pixel : row) {

std::cout << (pixel == 255 ? '#' : ' ') << ' ';

}

std::cout << '\n';

}

private:

std::vector<std::vector<int>> pixels;

};

int main() {

// Example grayscale image (5x5)

std::vector<std::vector<int>> grayscaleImage = {

{ 10, 50, 150, 200, 250 },

{ 30, 70, 120, 180, 220 },

{ 40, 90, 130, 190, 240 },

{ 60, 100, 140, 170, 210 },

{ 80, 110, 160, 180, 230 }

};

Image image(grayscaleImage);

std::cout << "Original Image:\n";

image.printImage();

image.applyThreshold();

std::cout << "\nThresholded Image:\n";

image.printImage();

return 0;

}

Explanation

Class Definition (Image):
- Private Members:
  - pixels: A 2D vector representing the grayscale image, where each element is a pixel intensity (0 to 255).
- Public Methods:
  - Image(const std::vector<std::vector<int>>& pixels): Constructor initializes the image with given pixel values.
  - void applyThreshold(): Applies a threshold to the image.
    - Pixels with intensity greater than or equal to THRESHOLD are set to 255 (white).
    - Pixels with intensity less than THRESHOLD are set to 0 (black).
  - void printImage() const: Prints the image to the console.
    - Prints # for white pixels and space for black pixels.
main Function:
- Initializes a sample grayscale image with a 5×5 grid of pixel intensities.
- Creates an Image object with the sample image.
- Prints the original image.
- Applies the thresholding operation.
- Prints the thresholded image.

Simulation of Image Recognition Gaming Project in C++

Explanation

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