Realization of preprocessing blocks of CNN based CASA system on FPGA
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2013Author
Şavkay, Osman LeventYıldız, Nerhun
Cesur, Evren
Yalçın Müştak, Erhan
Tavşanoğlu, Ahmet Vedat
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Şavkay, O. L., Yıldız, N., Cesur, E., Yalçın, M. E. & Tavşanoğlu, A. V. (2013). Realization of preprocessing blocks of CNN based CASA system on FPGA. Paper presented at the 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings, 1-4. doi:10.1109/ECCTD.2013.6662238Abstract
In this paper, hardware optimization of the preprocessing part of a computer aided semen analysis (CASA) system is proposed, which is also implemented on an FPGA device as a working prototype. A real-time cellular neural network (CNN) emulator (RTCNNP-v2) is used for the realization of the image processing algorithms, whose regular, flexible and reconfigurable infrastructure simplifies the prototyping process. For future work, the post-processing part of the CASA system is proposed to be implemented on the same FPGA device as software, using either a soft or hard processor core. By the integration of the pre- and post-processing parts, the designed CASA system will be capable of processing full-HD 1080p@60 (1080×1920) video images in real-time.
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2013 European Conference on Circuit Theory and Design, ECCTD 2013 - ProceedingsRelated items
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