Low-Power Smart Imagers for Vision-Enabled Sensor Networks

• Κύριοι συγγραφείς: Fernández-Berni, Jorge (Συγγραφέας), Carmona-Galán, Ricardo (Συγγραφέας), Rodríguez-Vázquez, Ángel (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2012.
• Θέματα: Engineering.; Electronics.; Microelectronics.; Electronic circuits.; Circuits and Systems.; Electronics and Microelectronics, Instrumentation.; Signal, Image and Speech Processing.

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...

Πίνακας περιεχομένων:

• 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.