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Learn C++: The Complete Course for Beginners

Solution: Mini Project 1

Discover how to process grayscale images in C++ by applying thresholding techniques to convert them into black and white. Learn to navigate 2D arrays using nested loops and understand pixel value manipulation to create image effects. This lesson guides you through a practical mini project solution, helping you apply concepts related to image processing and interactive coding in C++.

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Solution #

Press the RUN button and see the output!

C++
#include "imagelib.h"
int main() {
  // Displays input image
  loadFile("input.png");
  // Traverse rows in 2D array
  for (int i = 0; i < height; i++) {
    // Traverse columns in each row
    for (int j = 0; j < width; j++) {
      // Process pixel image[i][j], here
      if (image[i][j] <= 70) {
        // Sets image pixel to black
        image[i][j] = 0;
      } else {
        // Sets image pixel to white
        image[i][j] = 255;
      }
    }
  }
  // Displays modified image
  saveFile("output/modified.png");
}

📝Note: In the above code widget, you can see the modified image by pressing the arrow button > towards the right of ...