tailieunhanh - Báo cáo hóa học: " Research Article FPGA-Based Real Time, Multichannel Emulated-Digital Retina Model Implementation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article FPGA-Based Real Time, Multichannel Emulated-Digital Retina Model Implementation | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 749838 10 pages doi 2009 749838 Research Article FPGA-Based Real Time Multichannel Emulated-Digital Retina Model Implementation Zsolt Voroshazi 1 Zoltán Nagy 2 and Pieter Szolgay2 3 1 Department of Image Processing and Neurocomputing University of Pannonia 8200 Veszprem Hungary 2 Cellular Sensory and Wave Computing Laboratory Computer and Automation Institute of HAS 1111 Budapest Hungary 3 Faculty of Information Technology Pazmany Peter Catholic University 1083 Budapest Hungary Correspondence should be addressed to Zsolt Voroshazi voroshazi@ Received 5 September 2008 Accepted 30 January 2009 Recommended by Diego Cabello Ferrer The function of the low-level image processing that takes place in the biological retina is to compress only the relevant visual information to a manageable size. The behavior of the layers and different channels of the neuromorphic retina has been successfully modeled by cellular neural nonlinear networks CNNs . In this paper we present an extended application-specific emulated-digital CNN-universal machine UM architecture to compute the complex dynamic of this mammalian retina in video real time. The proposed emulated-digital implementation of multichannel retina model is compared to the previously developed models from three key aspects which are processing speed number of physical cells and accuracy. Our primary aim was to build up a simple real-time test environment with camera input and display output in order to mimic the behavior of retina model implementation on emulated digital CNN by using low-cost moderate-sized field-programmable gate array FPGA architectures. Copyright 2009 Zsolt Voroshazi et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1.