title: Color image quantization algorithm based on self-adaptive differential evolution.
abstract: Differential evolution algorithm (DE) is one of the novel stochastic optimization methods. It has a better performance in the problem of the color image quantization, but it is difficult to set the parameters of DE for users. This paper proposes a color image quantization algorithm based on self-adaptive DE. In the proposed algorithm, a self-adaptive mechanic is used to automatically adjust the parameters of DE during the evolution, and a mixed mechanic of DE and K-means is applied to strengthen the local search. The numerical experimental results, on a set of commonly used test images, show that the proposed algorithm is a practicable quantization method and is more competitive than K-means and particle swarm algorithm (PSO) for the color image quantization.
authors: School of Mathematics and Statistic, Hubei Engineering University, Xiaogan, Hubei 432000, China. suqhdd@126.com
authors: Qinghua
authors: Q
authors: Su
authors: Zhongbo
authors: Z
authors: Hu
mesh_terms: D000465:Algorithms; D003116:Color; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*
references: IEEE Trans Image Process. 1997;6(7):1048-52
references: 18282995