Skip to content
#

porespy

Here are 5 public repositories matching this topic...

The notebook demonstrates the workflow for obtaining pore size distribution from binarized micro-CT images. The general principle involves identifying each pore, estimating the volume of each pore, and ultimately determining the radius of a sphere with an equivalent volume of each pore.

  • Updated May 29, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the porespy topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the porespy topic, visit your repo's landing page and select "manage topics."

Learn more