Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Image Filter Design with Evolvable Hardware
Proceedings of the Applications of Evolutionary Computing on EvoWorkshops 2002: EvoCOP, EvoIASP, EvoSTIM/EvoPLAN
Reducing Hardware Evolution's Dependency on FPGAs
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Virtual reconfigurable circuits for real-world applications of evolvable hardware
ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
A three-step decomposition method for the evolutionary design of sequential logic circuits
Genetic Programming and Evolvable Machines
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Images acquired through modern cameras may be contaminated by a variety of noise sources (e.g. photon or on chip electronic noise) and also by distortions such as shading or improper illumination. Therefore a preprocessing unit has to be incorporated before recognition to improve image quality. General-purpose image filters lacks the flexibility and adaptability for un-modeled noise types. The EHW architecture evolves filters without any apriori information. The approach chosen here is based on functional level evolution The proposed filter considers spatial domain approach and uses the overlapping window to remove the noise in the image.