A guide to unsupervised image segmentation of mCT-scanned cellular metals with mixture modelling and Markov random fields

A guide to unsupervised image segmentation of mCT-scanned cellular metals with mixture modelling and Markov random fields

Characterising the structure of cellular metals is a difficult task. The internal structure of cellular metals can be determined using micro-computed tomography (mCT). However, mCT scanning provides digital images in greyscale with various problematic artefacts. In addition, the grey intensity of ce...

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Bibliographic Details
Main Authors: Branislav Panić, Matej Borovinšek, Matej Vesenjak, Simon Oman, Marko Nagode
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Materials & Design
Subjects:
Mixture model
Spatial regularisation
Markov random fields
Cellular metals
Porosity
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524001229

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http://www.sciencedirect.com/science/article/pii/S0264127524001229

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