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

GUI for calculating metrics from 2D and 3D images.
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更新时间 2014/11/26

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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

引用格式

Kateryna Artyushkova (2024). Areal, volumetric and textural parameters from 2D and 3D images (https://www.mathworks.com/matlabcentral/fileexchange/48515-areal-volumetric-and-textural-parameters-from-2d-and-3d-images), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2014b
兼容任何版本
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致谢

参考作品: imMinkowski

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版本 已发布 发行说明
1.2.0.0

Changed so no PLS Toolbox is required

1.1.0.0

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

1.0.0.0