Fracture mode classification by texture analysis of fracture surface scanning electron microscope images-Reference-Cited by-同舟云学术

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Fracture mode classification by texture analysis of fracture surface scanning electron microscope images

Published:2022-05-30 Issue:1 Volume:2 Page:129-138
ISSN:2766-0400
Container-title:Science and Technology of Advanced Materials: Methods
language:en
Short-container-title:Science and Technology of Advanced Materials: Methods

Author:

Endo Akihiro¹,Furuya Yoshiyuki²^ORCID,Nagata Kenji³^ORCID,Yoshikawa Hideki³,Shouno Hayaru¹^ORCID

Affiliation:

1. Department of Informatics, Graduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Japan

2. Research Center for Structural Materials, National Institute for Materials Science, Tsukuba, Japan

3. Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, Japan

Funder

Japanese Ministry of Education Culture, Sports, Science and Technology

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/27660400.2022.2065185

Reference11 articles.

1. Fractographic methods in fatigue research

2. Microstructure Recognition by Deep Learning

3. Application of Deep-Learning for Classification of Fracture Surface’s SEM Image.

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