Process and Transform Images Using OpenCV for Filtering, Segmentation, and Feature Extraction

Learning Objectives

At the end of this theory note, trainees must be able to:

1. Load, display, and save images in various formats using OpenCV.
2. Apply filtering operations to reduce noise and enhance image quality.
3. Implement segmentation techniques to isolate regions of interest.
4. Detect key points, edges, and descriptors using feature extraction methods.
5. Convert between colour spaces and perform geometric transformations.
6. Validate and document processed image outputs against expected results.