/B31XB-IIP-TP-1718

Primary LanguageJupyter Notebook

B31XB-IIP-Introduction-skimage

Table of Contents

Information about the module

  • ViBOT & MsCV & MAIA - Universite de Bourgogne
  • Instructors: D'esire Sidib'e, Mojdeh Rastgoo, Guillaume Lemaitre
  • Contact: [Contact email](mailto: mojdeh.rastgoo@gmail.com) for personal queries.

Course description

This practise will allow you to acquire a broad knowledge of the scikit-image toolbox.

Software prerequisite

The practises are using Python. We advise you to use the Anaconda bundle. Download Anaconda here and follow the instructions. Furthermore, you will need to install the following packages for the practise:

  • ipython notebook - conda install ipython-notebook
  • scikit-image - conda install scikit-image

Additional material

Supplement material can be found in the following wonderful books:

The following guides can be useful to use git and github.

Course syllabus

  • 0-0-introduction-to-python
  • 0-1-introduction-to-git
  • 1-introduction-to-image-processing
  • 2-image_enhancement
  • 3-interpolation-blending
  • 4-filter-spatial-domain
  • 5-filter-frequency-domain
  • 6-segmentation