Fiber Diameter Distribution

Fiber diamter distribution from SEM and microscopic images
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Updated 9 Feb 2021

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Size distribution of fiber diameter from SEM images

This is a simple code to extract the diamter size distribution of the
fibers from SEM images. All length units are in micron. The code
generates an excel file tat includes all the observed diamters. The only
paramter you need to set is the spatial resolution of the image. In order
to find it, devide the physical height of the image by its height in pixels. For example, if the height of the image is 1000
pixels and physical height is 100 microns, your spatial resolution would
be 0.1 mcrion per pixel.

If you are using the code in your research, please cite these papers:

Rabbani, A., & Salehi, S. (2017). Dynamic modeling of the formation
damage and mud cake deposition using filtration theories coupled with
SEM image processing. Journal of Natural Gas Science and Engineering, 42, 157-168.

Ezeakacha, C. P., Rabbani, A., Salehi, S., & Ghalambor, A. (2018, February).
Integrated Image Processing and Computational Techniques to Characterize Formation
Damage. In SPE International Conference and Exhibition on Formation Damage Control.
Society of Petroleum Engineers.

Check out my tutorial videos on porous material modeling via Matlab on youtube:
https://www.youtube.com/playlist?list=PLaYes2m4FtR3DBM7TIb6oOZYI-tG4fHLd

By Arash Rabbani
rabarash@yahoo.com

Cite As

Rabbani, A., & Salehi, S. (2017). Dynamic modeling of the formation damage and mud cake deposition using filtration theories coupled with SEM image processing. Journal of Natural Gas Science and Engineering, 42, 157-168.

Ezeakacha, C. P., Rabbani, A., Salehi, S., & Ghalambor, A. (2018, February). Integrated Image Processing and Computational Techniques to Characterize Formation Damage. In SPE International Conference and Exhibition on Formation Damage Control. Society of Petroleum Engineers.

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.3

link added

1.0.2

A Gaussian filter is added.

1.0.1

Slight correction.

1.0.0