Realization of preprocessing blocks of CNN based CASA system on FPGA

O. Levent Savkay; Nerhun Yildiz; Evren Cesur; Mustak E. Yalcin; Vedat Tavsanoglu

doi:10.1109/ecctd.2013.6662238

Realization of preprocessing blocks of CNN based CASA system on FPGA

O. Levent Savkay
, Nerhun Yildiz
, Evren Cesur
, Mustak E. Yalcin
, Vedat Tavsanoglu

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

6 Atıf (Scopus)

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings
Yayınlayan	IEEE Computer Society
ISBN (Basılı)	9783000437854
DOI'lar	https://doi.org/10.1109/ecctd.2013.6662238
Yayın durumu	Yayınlandı - 2013
Etkinlik	2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Dresden, Germany Süre: 8 Eyl 2013 → 12 Eyl 2013

Yayın serisi

Adı	2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2013 European Conference on Circuit Theory and Design, ECCTD 2013
Ülke/Bölge	Germany
Şehir	Dresden
Periyot	8/09/13 → 12/09/13

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1109/ecctd.2013.6662238

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Savkay, O. L., Yildiz, N., Cesur, E., Yalcin, M. E., & Tavsanoglu, V. (2013). Realization of preprocessing blocks of CNN based CASA system on FPGA. In 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings Makale 6662238 (2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/ecctd.2013.6662238

@inproceedings{4d39b7b246d248c9a39c8a958f3f1e0c,

title = "Realization of preprocessing blocks of CNN based CASA system on FPGA",

abstract = "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.",

author = "Savkay, \{O. Levent\} and Nerhun Yildiz and Evren Cesur and Yalcin, \{Mustak E.\} and Vedat Tavsanoglu",

year = "2013",

doi = "10.1109/ecctd.2013.6662238",

language = "English",

isbn = "9783000437854",

series = "2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings",

publisher = "IEEE Computer Society",

booktitle = "2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings",

address = "United States",

note = "2013 European Conference on Circuit Theory and Design, ECCTD 2013 ; Conference date: 08-09-2013 Through 12-09-2013",

}

Savkay, OL, Yildiz, N, Cesur, E, Yalcin, ME & Tavsanoglu, V 2013, Realization of preprocessing blocks of CNN based CASA system on FPGA. in 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings., 6662238, 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings, IEEE Computer Society, 2013 European Conference on Circuit Theory and Design, ECCTD 2013, Dresden, Germany, 8/09/13. https://doi.org/10.1109/ecctd.2013.6662238

Realization of preprocessing blocks of CNN based CASA system on FPGA. / Savkay, O. Levent; Yildiz, Nerhun; Cesur, Evren et al.
2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings. IEEE Computer Society, 2013. 6662238 (2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Realization of preprocessing blocks of CNN based CASA system on FPGA

AU - Savkay, O. Levent

AU - Yildiz, Nerhun

AU - Cesur, Evren

AU - Yalcin, Mustak E.

AU - Tavsanoglu, Vedat

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84892634613

U2 - 10.1109/ecctd.2013.6662238

DO - 10.1109/ecctd.2013.6662238

M3 - Conference contribution

AN - SCOPUS:84892634613

SN - 9783000437854

T3 - 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings

BT - 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings

PB - IEEE Computer Society

T2 - 2013 European Conference on Circuit Theory and Design, ECCTD 2013

Y2 - 8 September 2013 through 12 September 2013

ER -

Realization of preprocessing blocks of CNN based CASA system on FPGA

Özet

Yayın serisi

???event.eventtypes.event.conference???

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap