摘要
以费用函数最小化方法为基础,提出一种基于粒子群和量子进化算法为基础的混合智能算法用于进行图像的边缘检测.提出了基于混合智能的进化算法,用于进行图像边缘检测.仿真结果表明,新算法得到了令人满意的检测效果.
In order to minimize the cost function approach, based on a quantum-based particle swarm and evolutionary algorithm-based hybrid intelligent algorithm for image edge detection. Integrated the merits of both approaches is proposed in this paper based on the quantum evolution of hybrid intelligent algorithm for image edge detection. The simulation results show that the new algorithm has been satisfactory detection results.
出处
《阜阳师范学院学报（自然科学版）》
2009年第2期39-42,共4页
Journal of Fuyang Normal University(Natural Science)
关键词
量子进化
粒子群
混合智能
图像边缘检测
quantum computing
PSO
hybrid in telligence
image edge detection
