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Thesis

In this project, my task was to implement and compare 5 different thinning algorithms for grayscale pictures.

The common method, up until these attempts, was to convert the grayscale images to binary pictures and thin the result.

These algorithms provide a different approach.

The papers in chronological order:

  • Thinning algorithms for grayscale pictures 1997 (Dyer Rosenfeld)
  • The ridge-seeking method for obtaining the skeleton of digital images 1984 (Salari Siy)
  • Skeletonization for grayscale character images using pixel superiority index 1998 (Kang Et Al)
  • Gray-scale thinning algorithm using local min/max operations 2006 (Kim)
  • A parallel thinning algorithm for grayscale images 2013 (Couprie Et Al)

First steps

Requirements

Usage

The following command installs the dependencies

pip install -r requirements.txt

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The Thesis for my Bsc

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