dc.contributor.author | Arik, Sabri | |
dc.contributor.author | Karabiber, Fethullah | |
dc.contributor.author | GRASSI, Giuseppe | |
dc.contributor.author | VECCHIO, Pietro | |
dc.contributor.author | Yalçın, Müştak Erhan | |
dc.date.accessioned | 2021-03-04T19:25:53Z | |
dc.date.available | 2021-03-04T19:25:53Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Karabiber F., GRASSI G., VECCHIO P., Arik S., Yalçın M. E. , "Implementation of a cellular neural network-based segmentation algorithm on the bio-inspired vision system", JOURNAL OF ELECTRONIC IMAGING, cilt.20, 2011 | |
dc.identifier.issn | 1017-9909 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_8fbf57f9-51be-444c-8b09-33ba5855ff86 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/97057 | |
dc.identifier.uri | https://doi.org/10.1117/1.3533327 | |
dc.description.abstract | Based on the cellular neural network (CNN) paradigm, the bio-inspired (bi-i) cellular vision system is a computing platform consisting of state-of-the-art sensing, cellular sensing-processing and digital signal processing. This paper presents the implementation of a novel CNN-based segmentation algorithm onto the bi-i system. The experimental results, carried out for different benchmark video sequences, highlight the feasibility of the approach, which provides a frame rate of about 26 frame/sec. Comparisons with existing CNN-based methods show that, even though these methods are from two to six times faster than the proposed one, the conceived approach is more accurate and, consequently, represents a satisfying trade-off between real-time requirements and accuracy. (C) 2011 SPIE and IS&T. [DOI: 10.1117/1.3533327] | |
dc.language.iso | eng | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.subject | Mühendislik | |
dc.subject | OPTİK | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Fizik | |
dc.subject | Temel Bilimler (SCI) | |
dc.subject | GÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ | |
dc.subject | Klinik Tıp | |
dc.subject | Klinik Tıp (MED) | |
dc.subject | Tıp | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Sinyal İşleme | |
dc.subject | Elektromanyetizma, Akustik, Isı Transferi, Klasik Mekanik ve Akışkanlar Dinamiği | |
dc.subject | Optik | |
dc.subject | Temel Bilimler | |
dc.title | Implementation of a cellular neural network-based segmentation algorithm on the bio-inspired vision system | |
dc.type | Makale | |
dc.relation.journal | JOURNAL OF ELECTRONIC IMAGING | |
dc.contributor.department | İstanbul Üniversitesi , , | |
dc.identifier.volume | 20 | |
dc.identifier.issue | 1 | |
dc.contributor.firstauthorID | 57571 | |