Journal article

SALVADOR Ruben, OTERO Andres, MORA Javier, DE la Torre Eduardo, RIESGO Teresa and SEKANINA Lukáš. Self-Reconfigurable Evolvable Hardware System for Adaptive Image Processing. IEEE Transactions on Computers. 2013, vol. 62, no. 8, pp. 1481-1493. ISSN 0018-9340.
Publication language:english
Original title:Self-Reconfigurable Evolvable Hardware System for Adaptive Image Processing
Title (cs):Seberekonfigurovatelný evolvable hardware systém pro adaptivní zpracování obrazu
Pages:1481-1493
Place:US
Year:2013
Journal:IEEE Transactions on Computers, Vol. 62, No. 8, US
ISSN:0018-9340
Keywords
evolutionary computing, genetic algorithms, evolvable hardware, FPGAs, self-adaptive systems, reconfigurable hardware, adaptable architectures, autonomous systems
Annotation
This paper presents an evolvable hardware system, fully contained in an FPGA, which is capable of autonomously generating digital processing circuits, implemented on an array of processing elements (PEs). Candidate circuits are generated by an embedded evolutionary algorithm and implemented by means of dynamic partial reconfiguration, enabling evaluation in the final hardware. The PE array follows a systolic approach, and PEs do not contain extra logic such as path multiplexers or unused logic, so array performance is high. Hardware evaluation in the target device and the fast reconfiguration engine used yield smaller reconfiguration than evaluation times. This means that the complete evaluation cycle is faster than software-based approaches and previous evolvable digital systems. The selected application is digital image filtering and edge detection. The evolved filters yield better quality than classic linear and nonlinear filters using mean absolute error as standard comparison metric. Results do not only show better circuit adaptation to different noise types and intensities, but also a nondegrading filtering behavior. This means they may be run iteratively to enhance filtering quality. These properties are even kept for high noise levels (40 percent). The system as a whole is a step toward fully autonomous, adaptive systems.
BibTeX:
@ARTICLE{
   author = {Ruben Salvador and Andres Otero and Javier Mora and Eduardo
	Torre la De and Teresa Riesgo and Luk{\'{a}}{\v{s}} Sekanina},
   title = {Self-Reconfigurable Evolvable Hardware System for Adaptive
	Image Processing},
   pages = {1481--1493},
   journal = {IEEE Transactions on Computers},
   volume = {62},
   number = {8},
   year = {2013},
   ISSN = {0018-9340},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10105}
}

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