Application of Deep Learning in Petrographic Coal Images Segmentation

Volume: 11, Issue: 11, Pages: 1265 - 1265
Published: Nov 13, 2021
Abstract
The study of the petrographic structure of medium- and high-rank coals is important from both a cognitive and a utilitarian point of view. The petrographic constituents and their individual characteristics and features are responsible for the properties of coal and the way it behaves in various technological processes. This paper considers the application of convolutional neural networks for coal petrographic images segmentation. The U-Net-based...
Paper Details
Title
Application of Deep Learning in Petrographic Coal Images Segmentation
Published Date
Nov 13, 2021
Journal
Volume
11
Issue
11
Pages
1265 - 1265
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