| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2024-05-15 |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| タイトル |
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|
タイトル |
An image processing mechanism for aerial inspection robots to detect submillimeter-width concrete cracks in social infrastructures |
|
言語 |
en |
| その他のタイトル |
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|
その他のタイトル |
An Image Processing Mechanism for Aerial Inspection Robots to Detect Submillimeter-Width Concrete Cracks in Social Infrastructures |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
Dixit, Ankur
Oshiumi, Wataru
Shrivastava, Manu
我妻, 広明
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Inspection robots for early detection of potential risks in severe environments require a high accuracy like human experts. A fine mechanism is crucial for extracting target components from noisy signals. We have proposed a detection system for submillimeter-width cracks in concrete surfaces of social infrastructures, such as bridges, by using morphological component analysis (MCA), for aerial image-inspection robots. Traditional schemes like PCA have relied on linear decomposition for the separation of target signal and noise components. Recent advancement in signal decomposition focuses on the enhancement of linearity in the separation by introducing a set of nonlinear basis functions to represent the raw signal even when multiple factors are mixed in a nonlinear manner. In this sense, MCA is a core technique to be able to isolate target components to represent submillimeter-width cracks from others. We proposed a proper pre- and post-processing operations to attach MCA, which demonstrated a high accuracy yet coarse and fine image components have to be integrated redundantly. In the present study, we successfully found a simpler mechanism to set the single basis function to extract the target by introducing a new thresholding mechanism. It suggests a high potential of MCA for inspection robots for various purposes. |
|
言語 |
en |
| 書誌情報 |
en : Advanced Robotics
巻 38,
号 9-10,
p. 698-714,
発行日 2024-05-07
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| 出版社 |
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|
出版者 |
Taylor & Francis |
|
言語 |
en |
| DOI |
|
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1080/01691864.2024.2324317 |
| ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
0169-1864 |
| ISSN |
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収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1568-5535 |
| 著作権関連情報 |
|
|
権利情報 |
This is an Accepted Manuscript of an article published by Taylor & Francis in Advanced Robotics on 07 Mar, 2024, available online: http://www.tandfonline.com/10.1080/01691864.2024.2324317. |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Sparse modeling |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
morphological component analysis |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
image texture |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
anisotropic diffusion |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
basis-pursuit (BP) algorithm |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 査読の有無 |
|
|
値 |
yes |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/358_ja.html |
| 論文ID（連携） |
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|
値 |
10430474 |
| 連携ID |
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|
値 |
12253 |
10430474.pdf (9 MB)
