A Two-Step Screening System for Surface Crack Using Object Detection and Recognition Technique Based on Deep Learning-Reference-Cited by-同舟云学术

A Two-Step Screening System for Surface Crack Using Object Detection and Recognition Technique Based on Deep Learning

Published:2020-03-15 Issue:3 Volume:69 Page:218-225
ISSN:0514-5163
Container-title:Journal of the Society of Materials Science, Japan
language:en
Short-container-title:J. Soc. Mat. Sci., Japan

Author:

SHIGEMURA Kazuki¹,NOMURA Yasutoshi¹

Affiliation:

1. Graduate School of Engineering, Ritsumeikan University

Publisher

Society of Materials Science, Japan

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.jstage.jst.go.jp/article/jsms/69/3/69_218/_pdf

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3. 3) S. Koyama, T. Maruya, K. Horiguchi and T. Sawa, “Digital image analysis of cracks on the concrete surface based on the Gabor wavelet transformation”, Journal of JSCE(E2), Vol.68, No.3, pp.178-194, (2012).

4. 4) C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke and A. Rabinovich, “Going deeper with convolutions”, proceedings of IEEE CVPR2015, (2015).

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