Advanced Image Processing

Designed and implemented a desktop application using Tkinter and OpenCV for performing advanced image

processing tasks. The tool allows users to load and process images via a user-friendly interface supporting drag-anddrop functionality.

Key Features:

• Point operations (add, subtract, divide, complement)

• Neighborhood filters: average, median, max, min, mode

• Segmentation techniques: manual, Otsu, adaptive thresholding

• Color operations: red boost, channel swap, red removal

• Histogram equalization and contrast stretching

• Edge detection (Sobel) and noise restoration (outlier method)

• Implemented GUI design using Tkinter with ttk themes and dynamic preview