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 language | English |
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Pages (from-to) | 529-538 |
Number of pages | 10 |
Journal | Journal of Structural and Construction Engineering |
Volume | 85 |
Issue number | 770 |
DOIs | |
Publication status | Published - 2020 Apr |
Externally published | Yes |
Keywords
- Damage assessment
- Deep learning
- Image diagnosis
- Image processing
- Timber house
ASJC Scopus subject areas
- Architecture
- Building and Construction