Flexible Spatial Filter Built by Electronic Circuits
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- OKA Kazuhiko
- Faculty of Engineering, University of Tokyo Faculty of Engineering, Hokkaido University
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- MITSUHASHI Wataru
- Faculty of Electro-Communications, University of Electro-Communications
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- YAMASAKI Hiro
- Faculty of Engineering, University of Tokyo
Bibliographic Information
- Other Title
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- 電子的に実現した柔軟性を有する空間フィルタ
- デンシテキ ニ ジツゲンシタ ジュウナンセイ オ ユウスル クウカン フィルタ
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Abstract
The spatial filtering method is useful for the non-contact velocity measurement of moving object on which a random surface pattern or texture exists. A remarkable feature of this method is the simple structure and rapid response of optical parallel processing. However, there remains a serious problem that no signal is obtained if the characteristic frequency is not contained in spatial frequency components on the object's surface. In order to overcome this problem, pitch of the spatial filter must be adjusted to match the spatial frequency characteristics of the object's surface. But it is difficult to change the shape of the parallel slit reticle of the conventional spatial filter.<br>In this paper, we propose an electronic spatial filter utilizing an imaging device and full digital circuits. Various shapes of weighting function of spatial filter can be easily realized by this approach. A dual spatial filter having orthogonal sinusoidal weighting function is implemented. Its output can be utilized to sample a spatial frequency component out of the object surface.<br>An intelligent velocity sensing system is fabricated. It can evaluate the matching of filter performance with its object and adjust the reticle pitch automatically to meet change in the characteristics of the object surface. Features of this system is proven by experiments.
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 25 (3), 271-277, 1989
The Society of Instrument and Control Engineers
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Details 詳細情報について
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- CRID
- 1390001204502562304
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- NII Article ID
- 130003969601
- 10006751508
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- NII Book ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL BIB ID
- 3215008
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed