Realization of processing blocks of CNN based CASA system on CPU and FPGA
Yükleniyor...
Dosyalar
Tarih
2014
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, hardware optimization of the preprocessing and software implementation of the processing blocks of a computer aided semen analysis (CASA) system are proposed, which is also implemented on an FPGA and ARM device as a working prototype. The software implementation of the track initialization, track maintenance, data validation and classification blocks of the processing part are implemented on a Zynq7000 ARM Cortex-A9 processor. In the preprocessing part, 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. The CASA system introduced in this paper is capable of processing full-HD 1080p@60 (1080 x 1920) video images in real-time.
Açıklama
Anahtar Kelimeler
Semen Characteristics, Image processing, IIR filters, Bandpass filters, ARM processors, Cellular neural networks, Computer aided analysis, Image processing, Data validation, Hardware optimization, Image processing algorithm, Prototyping process, Reconfigurable infrastructures, Software implementation, Track initialization, Track maintenance, Video signal processing
Kaynak
2014 IEEE International Symposium on Circuits and Systems (ISCAS)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Şavkay, O. L., Cesur, E., Yıldız, N., Yalçın, M. E. & Tavşanoğlu, A. V. (2014). Realization of processing blocks of CNN based CASA system on CPU and FPGA. Paper presented at the 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2081-2084. doi:10.1109/ISCAS.2014.6865576
