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EuroSciPy 2019 - 3D image processing with scikit-image

Alexandre de Siqueira, [email protected]

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)]

• [EuroSciPy 2019]

• [scikit-image]

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]