A repository for coursework and experiments in image analysis, developed as part of the SSY098 course at Chalmers University of Technology.
This project contains code and resources for assignments, labs, and experiments related to image analysis. The focus is on applying image processing and computer vision techniques using Python and popular libraries such as OpenCV, NumPy, and scikit-image.
- Image filtering and enhancement
- Edge detection and segmentation
- Feature extraction and object recognition
- Image transformations and geometric operations
- Experiment scripts and Jupyter notebooks for easy exploration
Contributions are welcome! Please open an issue or submit a pull request for improvements, bug fixes, or new features.
- Fork the repository.
- Create a new branch:
git checkout -b my-feature - Commit your changes:
git commit -am 'Add new feature' - Push to the branch:
git push origin my-feature - Open a pull request.