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Fuzzy Approach Based on Quantum-Inspired MRF for SOFC Anode Optical Microscope Images Segmentation

Published: 24 February 2017 Publication History

Abstract

Microstructural information acquired from image analysis can be used in cell modeling. In order to obtain more precise Solid Oxide Fuel Cell (SOFC) microstructure parameters, an adaptive fuzzy approach is developed for three-phase identification of YSZ/Ni anode Optical Microscopic (OM) images. A new quantum-inspired clique potential Markov random field (MRF) function is proposed to considerate spatial information in fuzzy logic model, where the space distance based weight is introduced to reflect the influence of neighborhood pixels. Simulated images and real SOFC anode OM images are used to compare the effectiveness and practicability of the proposed algorithm with others. Experiment results demonstrate that the proposed methods can accurately separate there-phase of SOFC OM images, which lays the foundation of subsequent microstructural parameters extracting.

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  • (2021)Segmentation of Solid Oxide Cell Electrodes by Patch Convolutional Neural NetworkJournal of The Electrochemical Society10.1149/1945-7111/abef84168:4(044504)Online publication date: 21-Apr-2021

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cover image ACM Other conferences
ICMLC '17: Proceedings of the 9th International Conference on Machine Learning and Computing
February 2017
545 pages
ISBN:9781450348171
DOI:10.1145/3055635
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Southwest Jiaotong University

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Association for Computing Machinery

New York, NY, United States

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Published: 24 February 2017

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Author Tags

  1. Solid Oxide Fuel Cell (SOFC)
  2. fuzzy logic model
  3. image segmentation
  4. quantum

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  • (2021)Segmentation of Solid Oxide Cell Electrodes by Patch Convolutional Neural NetworkJournal of The Electrochemical Society10.1149/1945-7111/abef84168:4(044504)Online publication date: 21-Apr-2021

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