Fully Automatic Top Coat Layer Recognition in Thermal Barrier Coating Images-Reference-Cited by-同舟云学术

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Fully Automatic Top Coat Layer Recognition in Thermal Barrier Coating Images

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI)
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Author:

Lu Yongjin¹,Chen Wei-Bang²,Wang Xiaoliang³,Zimmerman Ben⁴

Affiliation:

1. Oakland University,Mathematics and Statistics,Rochester,MI,United States

2. Virginia State University,Computer Science,Petersburg,VA,United States

3. Virginia State University,Applied Engineering Technology,Petersburg,VA,United States

4. Commonwealth Center For Advanced Manufacturing,Disputanta,VA,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9873849/9873997/09874038.pdf?arnumber=9874038

Reference10 articles.

1. Porosity and Its Significance in Plasma-Sprayed Coatings

2. Microstructure, composition and property relationships of plasma-sprayed thermal barrier coatings

3. A Hybrid Image Segmentation Approach for Thermal Barrier Coating Quality Assessments

4. Application of image analysis for characterization of porosity in thermal spray coatings and correlation with small angle neutron scattering;swarnima;Surface and Coatings Technology,2004

5. Study on Porosity of Plasma-Sprayed Coatings by Digital Image Analysis Method

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Current Status of Image Recognition Technology in the Field of Corrosion Protection Applications;Coatings;2024-08-16

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