Image Preprocessing

This project was created as part of our final-term requirement in the Digital Image Processing course.

The main goal was to implement a wide range of fundamental and advanced image processing techniques and bring them together in a single, interactive graphical user interface (GUI).

The tool allows users to:

Load and display images.

Apply point and neighborhood operations.

Perform histogram analysis and enhancement.

Add and restore noise using different filters.

Segment images using thresholding.

Detect edges and extract boundaries.

Visualize results clearly using subplots.

The entire application was built using Python with libraries such as OpenCV, NumPy, and Matplotlib, and the GUI was designed using Tkinter.