Study on image diagnosis of timber houses damaged by earthquake using deep learning
Abstract Image processing (semantic segmentation and morphological processing) for the image diagnosis of timber houses damaged by earthquake was studied and the following three aspects were revealed. Comparing the performance of the models trained with real datasets and chromakeyed datasets, the va...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-07-01
|
| Series: | Japan Architectural Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2475-8876.12221 |