Convert any image into a Region Adjacency Graph (RAG)
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Updated
Apr 27, 2020 - Python
Convert any image into a Region Adjacency Graph (RAG)
The project aims to segment images into rover, background, and shadow. It starts with initial segmentation using SLIC and adaptive SLIC, followed by applying a Region Adjacency Graph (RAG). To address over-segmentation, Hierarchical Merging and Normalized Cuts are used.
This repository implements region adjacency matrix calculation using NumPy, PyTorch, and CUDA.
A summative coursework for CSC8628 Image Informatics
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