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
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.
and Masatoshi 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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