Entropic thresholding method using genetic algorithm
Chong Jinsong, Wang Hongqi, Zhou Xiaokuan · 2003
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.