Areal, volumetric and textural parameters from 2D and 3D images

GUI for calculating metrics from 2D and 3D images.
Updated 26 Nov 2014

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2D metrics calculated from individual images:
- Mean roughness, skewness, areal porosity, average and maximum
diffusion distance; perimeter, average horizontal and vertical length,
fractal dimension, texture parameters: contract, correlation, energy,
homogeneity, entropy, Euler Parameter
3D metrics calculated from depth stacks
- Texture parameters: Entropy, Energy, Homogeneity
- Average thickness, roughness, Average run length in X,Y and Z,
average and maximum diffusion distance, fractal dimension, porosity,
volume, Euler Parameter and Breadth.
Based on Quantifying biofilm structure code in "Fundamentals of biofilm research"
2013, CRC Press Content, Zbigniew Lewandowski, Haluk Beyenal and
Computation of Minkowski measures on 2D and 3D binary images Image Anal. Stereol., 2007, 26, 83-92
Credit goes to: Geometric measures in 2D/3D images by David Legland

Cite As

Kateryna Artyushkova (2024). Areal, volumetric and textural parameters from 2D and 3D images (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired by: imMinkowski

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Version Published Release Notes

Changed so no PLS Toolbox is required

Updated to work with RGB images (one channel at a time)