EURASIP 2014 - Special Issue on Hardware Implementation of Machine Vision Systems

Machine Vision systems represent an extensive area belonging to the digital signal processing with
vast applications nowadays for industrial environment, robotics, vehicular/avionics/space technology,
multimedia, entertainment, security, medicine, scientific and so on.
Nevertheless, mostly these techniques cannot be achieved “off-line” due to the physical constraints of the
complex environment and the context where they are applied. Additionally, as these systems are becoming
complex, huge computational resources are demanding, mostly if hard real-time constraint is required.
The hardware implementation and the acceleration of these systems are gaining importance nowadays
in order to accomplish with the requirements of the systems being usually needed to keep a scrupulous
trade-off between accuracy, efficiency and power consumption.
The use of GPGPUs, Cells, FPGAs, DSPs as accelerators can achieves speedups of orders of magnitude vs.
Any optimized CPU implementation. Each appropriate implementation solution is carried out depending
on many final demands as power consumption, performance, accuracy, reliability, rapid prototyping, final
cost, capability, reconfigurability among others.
The objective of this special issue is to bring together state-of-the-art research contributions as well as review
articles that address recent developments in the hardware implementation of machine vision systems.
Original papers describing completed and unpublished work not currently under review by any other
journal, magazine, or conference are solicited.
Lead Guest Editor
Guillermo Botella, Department of Computer Architecture , Complutense University of Madrid (UCM),
Madrid, 28040 Spain, Email 7 gbotella-AT-fdi.ucm.es
Guest Editors
Uwe Meyer-Baese, Department of Electrical and Computer Engineering FAMU-FSU College of
Engineering, Tallahassee, 32310, FL, USA, Email 7 umb-AT-eng.fsu.edu
Carlos García, Department of Computer Architecture, Complutense University of Madrid (UCM),
Madrid, 28040 Spain, Email 7 garsanca-AT-dacya.ucm.es