Complete FPGA implemented evolvable image filters
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 4293 LNAI, Page: 767-777
2006
- 5Citations
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Metrics Details
- Citations5
- Citation Indexes5
- CrossRef4
Conference Paper Description
This paper describes a complete FPGA implemented intrinsic evolvable system which is employed as a novel approach to automatic design of spatial image filters for two given types of noise. The genotype-phenotype representation of the proposed evolvable system is inspired by the Cartesian Genetic Programming and the function level evolution. The innovative feature of the proposed system is that the whole evolvable system which consists of evolutionary algorithm unit, fitness value calculation unit and reconfigurable function elements array is realized in a same FPGA. A commercial and current FPGA card: Celoxica RC1000 PCI board with a Xilinx Virtex xcv2000E FPGA is employed as our hardware platform. The main motive of our research is to design a general, simple and fast virtual reconfigurable hardware platform with powerful computation ability to achieve intrinsic evolution. The experiment results show that a spatial image filter can be evolved in less than 71 seconds. © Springer-Verlag Berlin Heidelberg 2006.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=33845938036&origin=inward; http://dx.doi.org/10.1007/11925231_73; http://link.springer.com/10.1007/11925231_73; http://link.springer.com/content/pdf/10.1007/11925231_73.pdf; http://www.springerlink.com/index/10.1007/11925231_73; http://www.springerlink.com/index/pdf/10.1007/11925231_73; https://dx.doi.org/10.1007/11925231_73; https://link.springer.com/chapter/10.1007/11925231_73
Springer Science and Business Media LLC
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