Study on image diagnosis of timber houses damaged by earthquake using deep learning

Hiroyuki Chida, Noriyuki Takahashi

研究成果: Article査読

2 被引用数 (Scopus)

抄録

The image processing (with deep learning, semantic segmentation, hough transformation, edge extraction) for the image diagnosis of wooden houses damaged by earthquake was studied and verified. As a result, the following 3 aspects were revealed. 1. The usefulness of chroma keying for creating image database for deep learning instead of real damaged images 2. The potential of the image diagnosis for not only qualitative damage assessment of timber houses, but also quantitative one 3. The possibility of installation of drift ratio estimation into the image diagnosis.

本文言語English
ページ(範囲)529-538
ページ数10
ジャーナルJournal of Structural and Construction Engineering
85
770
DOI
出版ステータスPublished - 2020 4

ASJC Scopus subject areas

  • 建築
  • 建築および建設

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