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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[2.0.0] - 2026-02-10

Added

  • 🎯 Comprehensive repository restructuring with organized source code directories
  • 📚 Enhanced documentation with installation guide, usage examples, and API reference
  • 🔧 Utility functions for path management and quick start guidance
  • 🏗️ Structured source code organized by functionality (core, features, classification, preprocessing, evaluation)
  • 📖 Professional README with badges, performance metrics, and citation information
  • 🗂️ Legacy code preservation in dedicated legacy directory
  • ⚡ Quick start scripts for new users and testing
  • 📄 License file with proper attribution and citation requirements

Changed

  • 🔄 File organization - moved all MATLAB files to appropriate functional directories
  • 📈 Documentation format - upgraded to professional markdown with enhanced formatting
  • 🎨 Visual enhancements - added badges, tables, and improved layout
  • 📊 Performance reporting - structured results in professional tables

Project Structure

📁 retinalVesselSegmentation/
├── 📄 README.md                    # Comprehensive project documentation
├── 📄 LICENSE                      # MIT license with citation requirements
├── 📄 CHANGELOG.md                 # This changelog file
├── 📁 src/                         # Organized source code
│   ├── 📁 core/                    # Core segmentation algorithms
│   ├── 📁 features/                # Feature extraction methods
│   ├── 📁 classification/          # Machine learning classifiers
│   ├── 📁 preprocessing/           # Image preprocessing utilities
│   ├── 📁 evaluation/              # Performance evaluation tools
│   ├── 📁 utils/                   # Utility functions and path management
│   └── 📁 legacy/                  # Legacy code for backward compatibility
├── 📁 scripts/                     # Standalone scripts and examples
├── 📁 docs/                        # Documentation and guides
├── 📁 Images/                      # Dataset storage and results
└── 📁 Publications/                # Research papers and references

[1.0.0] - 2021-XX-XX (Historical)

Added

  • 🔬 Initial implementation of retinal vessel segmentation algorithms
  • 🤖 Random Forest classification for supervised vessel detection
  • 🌊 Multi-scale line detection for unsupervised segmentation
  • 🏗️ Feature extraction using SURF and custom descriptors
  • 📊 Evaluation metrics for performance assessment
  • 📚 Research validation on DRIVE, STARE, and CHASE_DB1 datasets

Publications

  • IET Computer Vision (2021): Supervised and unsupervised approaches
  • AIME 2019: Semi-supervised vessel segmentation approach
  • IbPRIA 2019: Mixture of supervised and unsupervised methods

Future Releases

Planned Features [3.0.0]

  • 🔮 Deep learning integration with CNN-based segmentation
  • ⚡ GPU acceleration for faster processing
  • 🌐 Web interface for easy access and testing
  • 📱 Mobile compatibility for clinical applications
  • 🔗 API endpoints for integration with medical systems

Research Directions

  • 🧠 Advanced neural networks (U-Net, DeepLab variants)
  • 🔍 Multi-modal fusion with OCT and fluorescein angiography
  • 📊 Quantitative analysis tools for clinical metrics
  • 🔬 3D vessel reconstruction from multiple fundus views