Realization of preprocessing blocks of CNN based CASA system on FPGA
AuthorŞavkay, Osman Levent
Yalçın Müştak, Erhan
Tavşanoğlu, Ahmet Vedat
MetadataShow full item record
CitationŞavkay, 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.2013.6662238
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.
Source2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings
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