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Entropic Thresholding Method Based on Genetic Algorithm

Chong Jingsong Zhou Xiaokuan (Beijing University of Aeronautics and Astronautics,School of Astronautics) Wang Hongqi (Institute of Electronics, Chinese Academy of Sciences, Modern Information Technique Department)  
The method of entropic thresholding proposed by Kapur, Sahoo and Wong (KSW) is implemented using Genetic Algorithm(GA). Optimum parameters suitable for this algorithm are also given. KSW method has many advantages. However, it has weakness: it needs a great deal of computational time especially when computing multithreshold. So it needs to import optimization technique. Genetic Algorithm proposed by John Holland is a robust and adaptive stochastic searching method. Entropic single thresholding and multithresholding methods are all presented using GA. The results show that it can shorten the computational time compared with the classical KSW method.
【CateGory Index】: TP391.41
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