Entropic thresholding method using genetic algorithm

  • Jinsong C
  • Hongqi W
  • Xiaokuan Z
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The method of entropic thresholding proposed by Kapur, Sahoo and Wong (KSW) is implemented using a genetic algorithm (GA). The KSW method has many advantages. However, it has weakness: it needs a great deal of computational time especially when computing a multithreshold. So it needs to import an optimization technique. A 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

Author-supplied keywords

  • KSW method;adaptive stochastic searching method;co

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  • Chong Jinsong

  • Wang Hongqi

  • Zhou Xiaokuan

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