Edge Detection GUI

This application provides a simple graphical user interface (GUI) for performing edge detection on images using the Canny algorithm. It is built with Python, using Tkinter for the GUI and OpenCV for image processing.

Features

• Load images from the filesystem.
• Interactive sliders to adjust edge detection parameters:
  • Low Threshold
  • High Threshold
  • Blur Kernel Size
• Display the original and processed images side by side.
• Simple and intuitive user interface.

Dependencies

To run this application, you will need Python and several packages. Here are the steps to set up your environment:

1. Python: Make sure Python 3.6 or later is installed on your system. You can download it from python.org.

2. OpenCV: Used for image processing functions.

pip install opencv-python

3. Pillow (PIL Fork): Used for image handling in the Tkinter GUI.

pip install Pillow

4. Tkinter: Typically comes pre-installed with Python. If not, you can install it using your package manager. For example, on Ubuntu:

sudo apt-get install python3-tk

How to Use

1. Load an Image: Click on the 'Load Image' button and select an image from your filesystem.
2. Adjust Parameters: Use the sliders to adjust the low threshold, high threshold and blur size.
3. Process Image: Click on the 'Process Image' button to apply edge detection.
4. View Results: The processed image will appear next to the original image.

Licence

This project is open-source and available under the MIT License. See the LICENSE file for more details.