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dip_image_segmentation's Introduction

Digital Image Processing 2nd Assignment, AUTh [2019]

Ιmplementations of basic image segmentation techniques.

This is an experimental application developed as part of the course "Digital Image Processing" assignment, that took place in the Department of Electrical & Computer Engineering at Aristotle University of Thessaloniki in 2019.

  • Representation of an image as a fully connected and non-directional graph.
  • Image segmentation by the following methods:
    • Spectral Clustering,
    • Normalized cuts,
    • Recursive Normalized cuts.

Status

As of the completion of the project, it will NOT be maintained. By no means should it ever be considered stable or safe to use, as it may contain incomplete parts, critical bugs and security vulnerabilities.


Support

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License

License: MIT

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