一种基于粒子群算法的色彩量化方案

为提高色彩量化算法的效率,基于求解实优化问题时粒子群算法优于遗传算法这一事实,在基于遗传算法的色彩量化算法的基础上,设计了相应的适应度函数,给出了一种基于粒子群算法的色彩量化方案,并通过量化实例对算法的性能进行了比较。实验结果显示,基于粒子群优化算法的色彩量化方法在收敛速度方面明显优于基于遗传算法的色彩量化方法。

Color Image Quantization Using Particle Swarm Optimization

It is proved by experiments that the particle swarm optimization is superior to the genetic algorithm in solving the problems of real optimization.In order to enhance the efficiency of the color image quantification algorithm,in this paper,the corresponding fitness function is designed,and a kind of particle swarm optimization color image quantization method is provided on the basis of the genetic algorithm color image quantization method.The comparison of the performance of two kind of quantification method has been carried on through the examples.The experimental result shows that the particle swarm optimization color image quantization method is obviously superior to the genetic algorithm color image quantization method since it has higher convergence rate.