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JRM Vol.17 No.4 pp. 420-427
doi: 10.20965/jrm.2005.p0420
(2005)

Paper:

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Parallel Extraction Architecture for Information of Numerous Particles in Real-Time Image Measurement

Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami,
and Masatoshi Ishikawa

Department of Information Physics and Computing, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

Received:
December 16, 2004
Accepted:
March 22, 2005
Published:
August 20, 2005
Creative Commons License
Keywords:
image measurement, moment extraction, particle information, real-time image processing
Abstract
In this paper, we propose a new architecture that can extract information of numerous particles in an image at high-speed. Particle information means various characteristics obtained from image moments. The proposed architecture simultaneously extracts moments of multiple particles in parallel. This parallel extraction enables a significant reduction in the amount of calculation required. In addition, asynchronous operation allows fast processing. We believe that this architecture can obtain more information in real-time even at high frame rates than conventional processing, providing advantages in a wide range of applications, mainly for image measurement. This paper details our proposed architecture and reviews some results of its implementation in FPGA.
Cite this article as:
Y. Watanabe, T. Komuro, S. Kagami, and M. Ishikawa, “Parallel Extraction Architecture for Information of Numerous Particles in Real-Time Image Measurement,” J. Robot. Mechatron., Vol.17 No.4, pp. 420-427, 2005.
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