An FPGA-based smart camera for accurate chlorophyll estimations-Reference-Cited by-同舟云学术

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An FPGA-based smart camera for accurate chlorophyll estimations

Published:2018-05-03 Issue: Volume: Page:
ISSN:0098-9886
Container-title:International Journal of Circuit Theory and Applications
language:en
Short-container-title:Int J Circ Theor Appl

Author:

Pérez-Patricio Madaín¹^ORCID,Aguilar-González Abiel²³^ORCID,Camas-Anzueto Jorge L¹,Morales Navarro Nestor Antonio¹,Grajales-Coutiño Rubén¹

Affiliation:

1. Mechatronics Engineering Department; Instituto Tecnológico de Tuxtla Gutiérrez (ITTG); Chiapas Mexico

2. Computer Science Department; Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE); Puebla Mexico

3. Institut Pascal; Université Clermont Auvergne (UCA); Auvergne France

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Reference29 articles.

1. Bourrasset C Maggianiy L Sérot J Berry F Pagano P Distributed FPGA-based smart camera architecture for computer vision applications IEEE 2013 Palm Springs, CA, USA 1 2

2. Low power high-performance smart camera system based on scamp vision sensor;Carey;J Sys Archit,2013

3. Hengstler S Prashanth D Fong S Aghajan H Mesheye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance ACM 2007 Cambridge, MA, USA 360 369

4. Aguilar-González A Arias-Estrada M Berry F Dense feature matching core for FPGA-based smart cameras 2017 New York 41 48

5. Robust feature extraction algorithm suitable for real-time embedded applications;Aguilar-González;J Real-Time Image Proc,2017

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2. Guest editorial special issue on computational image sensors and smart camera hardware;International Journal of Circuit Theory and Applications;2018-09-03

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