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# Arash Rabbani

### University of Manchester

17 total contributions since 2019

Hi, I am a research assistant at the University of Manchester, interested in modeling and simulation of porous material.

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Network Visualizer with colored properties
A fast way to visualize 3D networks or graphs composed of nodes and links with some properties that can be shown with different ...

Submitted

2D/3D specific surface of porous media using 2D images
This code calculates 2D/3D specific surface of porous media using 2D images

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Pore size distribution of 2D porous media images
Calculates the pore size distribution of 2D porous media images by watershed segmentation algorithm

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Grain size distribution of 2D porous media images
Calculates the grain size distribution of porous media

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Rock Thin Section Porosity
Simple code for calculating the porosity of blue-stained thin section images of rocks

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Throat size distribution of porous material
Throat size distribution of 2D porous media images using watershed segmentation algorithm

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Pore Network Coordination Number
Pore Network Coordination Number of 2D porous media images using watershed segmentation algorithm

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ITPM
Image-based throat/tube Permeability Model

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Fiber Diameter Distribution
Fiber diamter distribution from SEM and microscopic images

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Porous Texture Interpolation
Make Hybrid Porous textures from two initial textures with ones and zeros

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SEM Image Porosity and Pore Size
The code takes gray-scale SEM images and gives back its porosity and pore size distribution

Using a for loop to put a number of 2D arrays in a directory into a single 3D array
If your images are PNG and located in a folder, just run this code on that folder. 'A' is the resulted matrice: D=dir('*.png');...

plus d'un an ago | 0

Graph visualization adding white to my nodes. How to solve it?
This is a visual artifact I assume. Try add Edge Color to your nodes. It could help.

plus d'un an ago | 0

Index a 2D matrix from a 2D matrix
Well you can simply do this without a loop: A=rand(600,1000); B=A(1:51,1:51); But if you need it to use loops B=zeros(51); ...

plus d'un an ago | 0

Count centroids in an image
Why not simply label the binary image? and 'Num' would be the number of characters. [Label, Num]=bwlabel(Image)

plus d'un an ago | 1