書誌事項
- タイトル別名
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- Identification of One-dimensional Directional Blur Amount for Sharpening of Blurred Concrete Structure Images Acquired by UAV
抄録
<p>In order to perform reliable maintenance of infrastructures such as bridges, it is desirable to utilize robotic technologies such as UAV to support engineers. In this research, we aim to propose a method to identify one-dimensional directional blur amount for sharpening blurred images acquired by UAV. In order to sharpen one-dimensional blurred images of concrete structures, we focused on simple and uniform features such as sandy patterns peculiar to concrete surfaces and used a cepstrum of partial images of such features to obtain at least one candidate image of the amount of blur. In this paper, we apply our proposed "MD method" to blurred images of concrete bridges actually captured by UAV and to sharpen the degraded image with PSF-MB corresponding to the identified amount of blur. </p>
収録刊行物
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- 日本ロボット学会誌
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日本ロボット学会誌 41 (7), 631-634, 2023
一般社団法人 日本ロボット学会
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詳細情報 詳細情報について
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- CRID
- 1390860377325964032
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- ISSN
- 18847145
- 02891824
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可