イシイ ノブアキ   Ishii Nobuaki
  石井 信明
   所属   神奈川大学  工学部 経営工学科
    神奈川大学大学院  工学研究科 工学専攻(経営工学領域)
   職種   教授
言語種別 英語
発行・発表の年月 2003/07
形態種別 著書
査読 査読あり
標題 Crack Detection on Brick Walls by Convolutional Neural Networks Using the Methods of Sub-dataset Generation and Matching
執筆形態 共著
掲載誌名 Deep Learning Theory and Applications
掲載区分国外
出版社・発行元 Springer
巻・号・頁 pp.134-150
総ページ数 17
担当区分 最終著者
国際共著 国際共著
著者・共著者 Talukder, M. H., Ota, S., Takanokura, M., and Ishii, N.
概要 In this study, sub-dataset generation and matching methods are proposed to improve the performance of crack detection in brick walls using CNN. CNN training is conducted with each sub-dataset generated by the proposed sub-dataset generation method, while crack detection is performed using a properly trained CNN that is selected using the proposed matching method. For numerical experiments, training datasets are first prepared by manual image cropping and rotation, after which the performance of crack detection is evaluated by cross-validation. Numerical experiments show that the proposed method improves crack detection in brick walls. This study will help to ensure the safety of structures as well as the safety of human life.
DOI https://doi.org/10.1007/978-3-031-37320-6
ISBN 978-3-031-37319-0
ISSN 978-3-031-37319-0