# EuroSciPy 2019 - 3D image processing with scikit-image

Alexandre de Siqueira, `alex.desiqueira@igdore.org`

BIDS @ University of California, Berkeley

* Support material for the tutorial _3D image processing with scikit-image_.

This tutorial will introduce how to analyze three dimensional stacked and volumetric images in Python, mainly using scikit-image. Here we will learn how to:
  * pre-process data using filtering, binarization and segmentation techniques.
  * inspect, count and measure attributes of objects and regions of interest in the data.
  * visualize large 3D data.

For more info:
  * [[EuroSciPy (all editions)]](https://www.euroscipy.org/)
  * [[EuroSciPy 2019]](https://www.euroscipy.org/2019/)
  * [[scikit-image]](https://scikit-image.org/)

To cite this material, please use the reference below (this is a Chicago-like style):

  * _de Siqueira, Alexandre Fioravante. "Support material for the tutorial 3D image processing with scikit-image." EuroSciPy 2019. 2019, Sep 02. Access date: < ACCESS DATE>_

Use the conda env command to create an environment ready for this tutorial!

`$ conda env create -f environment.yml`

Then, to activate this environment,

` $ conda activate euroscipy2019_skimage`

To come back to your master environment,

`$ conda activate`

More on conda environments at: [[conda's user guide]](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html)