nkasare2001/CSCD608-Q4-Coin-Segmentation

CSCD608 Advanced Computer Vision Question 4: classical coin segmentation and measurement (University of Ghana) # Automated Coin Segmentation and Measurement **Nana Kwabena Asare** · Student ID **22424817** University of Ghana · Department of Computer Science CSCD608 Advanced Computer Vision, Question 4 The exam submission is the PDF report. The full source code is on GitHub: **github.com ## Contents | Item | Description | | ------------------------------------------------------- | ----------------------------------------------------------- | | `Nana Kwabena Asare (22424817) - CSCD608 Q4 Report.pdf` | Submission report (PDF) | | `Nana Kwabena Asare (22424817) - CSCD608.zip` | Complete submission package | | `REPORT.md` | Same report in Markdown, with figure paths | | `src/` | Segmentation, measurement, and evaluation modules | | `scripts/` | Ground-truth rasteriser, experiments, and single-image demo | | `dataset/` | Selected coin photographs | | `ground_truth/` | Manually annotated coin disks and binary masks | | `results/` | Figures and CSV tables | | `requirements.txt` | Python dependencies | ## How to run From this folder: ```text pip install -r requirements.txt python scripts/run_demo.py dataset/CSCD608_Q4_Selected_Coin_Dataset/01_baseline_plain/01_baseline_plain_03.jpeg python scripts/run_experiments.py ``` `run_experiments.py` regenerates the figures and tables in `results/`. It is not …