ID | 119576 |
Author |
Ikeda, Hinata
Tokushima University
Ukida, Hiroyuki
Tokushima University
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
Yamazoe, Kouki
Tokushima University
Tominaga, Masahide
Tokushima University
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
Terada, Kenji
Tokushima University
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
|
Keywords | 3D shape reconstruction
puppet head
X-ray CT images
graph cut method
machine learning
U-Net
|
Content Type |
Journal Article
|
Description | 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.
|
Journal Title |
SICE Journal of Control, Measurement, and System Integration
|
ISSN | 18824889
18849970
|
NCID | AA12293218
|
Publisher | Taylor & Francis
|
Volume | 16
|
Issue | 1
|
Start Page | 117
|
End Page | 139
|
Published Date | 2023-03-30
|
Rights | 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 | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
|
TextVersion |
Publisher
|
departments |
Science and Technology
Medical Sciences
Center for Community Revitalization
|