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ID 119576
Author
Ikeda, Hinata Tokushima University
Yamazoe, Kouki Tokushima University
Sasao, Tomoyo The University of Tokyo 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.
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language
eng
TextVersion
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departments
Science and Technology
Medical Sciences
Center for Community Revitalization