Photo Editor Using MATLAB

Overview

This project demonstrates basic image processing techniques using MATLAB, implemented both through direct command-line operations and a graphical user interface (GUI). The application allows users to perform various image manipulations such as grayscale conversion, edge detection, rotation, and histogram analysis.

Video: Watch how to implement this project

Features

• Command-Line Operations:

  • Image upload and display
  • RGB to grayscale conversion
  • Binary thresholding
  • Contrast adjustment
  • Histogram generation
  • Image metadata extraction

• GUI-Based Operations:

  • Upload and reset images
  • Convert images to grayscale
  • Apply complement (invert colors)
  • Detect edges using the Canny method
  • Rotate images clockwise/anticlockwise
  • Generate histograms

How to Use

1. Command-Line Mode:

   • Open MATLAB and run the provided script in the editor or command window.
   • Ensure the input image (crop.jpg or Gated LP-670.jpg) is in the working directory.

2. GUI Mode:

   • Launch the GUI by running the .fig file in MATLAB (created using the guide tool).
   • Use the buttons to perform operations like uploading, converting, rotating, or analyzing images.

Dependencies

MATLAB (tested on R2020b or later)

Image Processing Toolbox

Conclusion

This project covers fundamental image processing techniques in MATLAB, emphasizing both script-based and GUI-driven approaches. It serves as a practical introduction to MATLAB's capabilities for image manipulation and analysis.