Realization of preprocessing blocks of CNN based CASA system on FPGA
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Dosyalar
Tarih
2013
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Computer aided, FPGA devices, Hardware optimization, Image processing algorithm, Post processing, Processor cores, Prototyping process, Reconfigurable infrastructures, Cellular neural networks, Computer aided analysis, Image processing, Video signal processing, Circuit theory
Kaynak
2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
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Sayı
Künye
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.2013.6662238
