pac

(ParticleAnalysisCode)

This code is for the analysis of tomography data.

The code can read, segment, and analyze tomography data from a multitude of sources.

The main functionalities include:

• Reading and cropping XCT data
• Filtering the XCT data
• Segmenting the XCT data (binarization and watershed)
• Computing feature size from segmented data
• Computing feature size distribution
• Computing feature contact orientations
• Computing fabric tensors

There are 5 modules that do these things:

• Read
• Filter
• Segment
• Measure
• Plot

Read

This module reads tomography data and extracts cubical subregions for analysis.

Filter

This module iteratively filters the tomography data using non-local means filter.

Segment

This module segments the data using a watershed algo and corrects over segmentation.

Measure

This module measures the particle size parameters and interparticle contacts.

Plot

This module plots the data generated from the analysis of the XCT data

Requirements

pacMan uses the following libraries:

• numpy
• scipy
• statistics
• scikit-image
• tifffile
• uncertainties
• matplotlib
• spam
• glob
• numba
• tomopy

Speeding up the code

• Numba for numpy manipulations (future)

Future updates

• GPU processing