This repository contains a MATLAB-based image processing project focused on leaf segmentation and morphometric analysis. The work was completed as part of the MOD002643 – Image Processing module at Anglia Ruskin University and is shared here for portfolio and educational demonstration purposes.

The project implements a complete image processing pipeline to analyse leaf images captured under natural lighting conditions. A reference coin is used for scale calibration, enabling real-world morphometric measurements.

Key objectives include:

• Accurate segmentation of leaf and coin objects
• Noise removal using morphological operations
• Feature extraction and quantitative analysis
• Visual annotation of results
• Extension to multi-leaf image analysis

The following techniques were used throughout the project:

• Colour-based segmentation (HSV colour space)
• Morphological operations (opening, closing, hole filling, area filtering)
• Binary mask refinement
• Boundary extraction and visual overlays
• RGB histogram analysis
• Centroid and Green Leaf Index (GLI) calculation
• Morphometric measurements (area, perimeter, major/minor axes in mm)
• Multi-leaf analysis with object labelling and ranking

├── code/               # MATLAB scripts (.m / .mat)
├── input-images/       # Original captured images
├── output-images/      # Results for each task (C–I)
├── figures/            # Annotated visual outputs
├── README.md
└── LICENSE

This project was completed as part of academic coursework for
MOD002643 – Image Processing at Anglia Ruskin University.

The contents of this repository (including source code, images, and outputs) are provided for educational and portfolio demonstration purposes only.

❌ Copying, reusing, modifying, or submitting this code (in part or in full) for academic assessment, coursework, commercial use, or redistribution is strictly prohibited without explicit written permission from the author.

© 2025 Alif Sathar. All rights reserved.