Low-Power Smart Imagers for Vision-Enabled Sensor Networks

This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications.  Coverage includes a thorough analy...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Fernández-Berni, Jorge (Author), Carmona-Galán, Ricardo (Author), Rodríguez-Vázquez, Ángel (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Subjects:
Electronic circuits.
Electronics.
Signal processing.
Electronic Circuits and Systems.
Electronics and Microelectronics, Instrumentation.
Signal, Speech and Image Processing .
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • Vision-enabled WSN Nodes: State of the Art
  • Processing Primitives for Image Simplification
  • VLSI Implementation of Linear Diffusion
  • FLIP-Q: A QCIF Resolution Focal-plane Array for Low-power Image Processing
  • Wi-FLIP: A Low-power Vision-enabled WSN Node
  • Case Study: Early Detection of Forest Fires.

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