Image Processing Workflow for Filtering, Segmenting, and Characterizing DIgital Porous Media

This workflow is for purposes of filtering, segmenting, and geometrically characterizing porous media image datasets. Presented as a Jupyter Notebook, it contains algorithms to correct beam hardening, denoise, segment, and characterize images. The geometric characterization algorithm demonstrates the shapes of pores in the segmented dataset. The workflow can be run on a laptop or a computer cluster, the latter requiring suitable code modifications. Since it is a Jupyter Notebook, users can easily modify the code cells for specific rock types. Usage instructions are provided in the Jupyter Notebook. 

The workflow is developed for a supervised master's thesis C. Turhan, "Towards Scalable Data Model for Curation and Reusable Workflows for Porous Media Image Analysis," The University of Texas at Austin (2024), and is being used by the Digital Porous Media Research Group.