Climate Change Data Portal
| DOI | 10.1186/s40494-023-01125-w |
| Automatic damage identification of Sanskrit palm leaf manuscripts with SegFormer | |
| 发表日期 | 2024 |
| ISSN | 2050-7445 |
| 起始页码 | 12 |
| 结束页码 | 1 |
| 卷号 | 12期号:1 |
| 英文摘要 | Palm leaf manuscripts (PLMs) are of great importance in recording Buddhist Scriptures, medicine, history, philosophy, etc. Some damages occur during the use, spread, and preservation procedure. The comprehensive investigation of Sanskrit PLMs is a prerequisite for further conservation and restoration. However, current damage identification and investigation are carried out manually. They require strong professional skills and are extraordinarily time-consuming. In this study, PLM-SegFormer is developed to provide an automated damage segmentation for Sanskrit PLMs based on the SegFormer architecture. Firstly, a digital image dataset of Sanskrit PLMs (the PLM dataset) was obtained from the Potala Palace in Tibet. Then, the hyperparameters for pre-processing, model training, prediction, and post-processing phases were fully optimized to make the SegFormer model more suitable for the PLM damage segmentation task. The optimized segmentation model reaches 70.1% mHit and 51.2% mIoU. The proposed framework automates the damage segmentation of 10,064 folios of PLMs within 12 h. The PLM-SegFormer framework will facilitate the preservation state survey and record of the Palm-leaf manuscript and be of great value to the subsequent preservation and restoration. The source code is available at https://github.com/Ryan21wy/PLM_SegFormer. |
| 英文关键词 | Sanskrit palm leaf manuscript; Damage; Semantic segmentation; SegFormer |
| 语种 | 英语 |
| WOS研究方向 | Arts & Humanities - Other Topics ; Chemistry ; Materials Science ; Spectroscopy |
| WOS类目 | Humanities, Multidisciplinary ; Chemistry, Analytical ; Materials Science, Multidisciplinary ; Spectroscopy |
| WOS记录号 | WOS:001133274500008 |
| 来源期刊 | HERITAGE SCIENCE
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/293840 |
| 作者单位 | Central South University |
| 推荐引用方式 GB/T 7714 | . Automatic damage identification of Sanskrit palm leaf manuscripts with SegFormer[J],2024,12(1). |
| APA | (2024).Automatic damage identification of Sanskrit palm leaf manuscripts with SegFormer.HERITAGE SCIENCE,12(1). |
| MLA | "Automatic damage identification of Sanskrit palm leaf manuscripts with SegFormer".HERITAGE SCIENCE 12.1(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
