Swarm Intelligence-Based Methodology for Scanning Electron Microscope Image Segmentation of Solid Oxide Fuel Cell Anode

Swarm Intelligence-Based Methodology for Scanning Electron Microscope Image Segmentation of Solid Oxide Fuel Cell Anode

Segmentation of images from scanning electron microscope, especially multiphase, poses a drawback in their microstructure quantification process. The labeling process must be automatized due to the time consumption and irreproducibility of the manual labeling procedure. Here we show a swarm intellig...

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Bibliographic Details
Main Authors: Maciej Chalusiak, Weronika Nawrot, Szymon Buchaniec, Grzegorz Brus
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
solid oxide fuel cell
microstructure
anode
image filtering
segmentation
particle swarm optimization
Online Access:https://www.mdpi.com/1996-1073/14/11/3055

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