Cellular Neural Networks, Genetic Algorithms and Object Extraction
نویسندگان
چکیده
A cellular neural network (CNN) is an information processing system with a large scale nonlinear analog circuit. Setting up a CNN for a particular task needs a proper selection of circuit parameters (cloning template) which determines the dynamics of the network. The present paper provides a methodology, demonstrating the capability of Genetic Algorithms, for aUiomatic selection of cloning templates when CNN is used in extracting object regions from noisy images. This relieves the CNN from using heuristics for template selection procedure and performs consistently well in noisy environments for both synthetic and real images.
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