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

Hiroyuki Chida, Noriyuki Takahashi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)529-538
Number of pages10
JournalJournal of Structural and Construction Engineering
Volume85
Issue number770
DOIs
Publication statusPublished - 2020 Apr

Keywords

  • Damage assessment
  • Deep learning
  • Image diagnosis
  • Image processing
  • Timber house

ASJC Scopus subject areas

  • Architecture
  • Building and Construction

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