Deep Learning Approaches to Image Texture Analysis in Material Processing

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Deep Learning Approaches to Image Texture Analysis in Material Processing

Texture analysis is key to better understanding of the relationships between the microstructures of the materials and their properties, as well as the use of models in process systems using raw signals or images as input. Recently, new methods based on transfer learning with deep neural networks hav...

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Bibliographic Details
Main Authors:	Liu, Xiu, Aldrich, Chris
Format:	Journal Article
Published:	MDPI AG 2022
Online Access:	http://purl.org/au-research/grants/arc/CE200100009 http://hdl.handle.net/20.500.11937/87865

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