ID | 119576 |
著者 |
Ikeda, Hinata
Tokushima University
Yamazoe, Kouki
Tokushima University
|
キーワード | 3D shape reconstruction
puppet head
X-ray CT images
graph cut method
machine learning
U-Net
|
資料タイプ |
学術雑誌論文
|
抄録 | In this study, we discuss the digital archiving of Japanese traditional puppets. We propose two methods for extracting the puppet head shape from computed tomography (CT) images. The first is the graph cut method, and the second is a machine learning method based on U-Net. According to the experimental results of the extraction of puppet heads from CT images, the U-Net-based method can extract puppet heads more accurately than the graph cut method. Moreover, the U-Net-based method can extract puppet heads with multiple materials. However, the extraction of metal parts is inaccurate because of metal artefacts in the X-ray CT images and insufficient learning data.
|
掲載誌名 |
SICE Journal of Control, Measurement, and System Integration
|
ISSN | 18824889
18849970
|
cat書誌ID | AA12293218
|
出版者 | Taylor & Francis
|
巻 | 16
|
号 | 1
|
開始ページ | 117
|
終了ページ | 139
|
発行日 | 2023-03-30
|
権利情報 | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
|
EDB ID | |
出版社版DOI | |
出版社版URL | |
フルテキストファイル | |
言語 |
eng
|
著者版フラグ |
出版社版
|
部局 |
理工学系
医学系
地域創生センター
|