基于整体退火模糊遗传算法的层叠滤波器  

Stack Filters Based on Whole Annealing Fuzzy Genetic Algorithm

作　　者：崔颖[1] 赵春晖[1] 汤春明 

机构地区：[1]哈尔滨工程大学信通学院,哈尔滨150001

出　　处：《弹箭与制导学报》2006年第S9期942-946,共5页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：全国优秀博士学位论文作者基金(200037);高校博士点基金(20020217006);黑龙江省杰出青年基金(JC-02-07);博士后启动基金;高校青年教师教学科研奖励计划资助

摘　　要：文中应用模糊控制的思想控制遗传算法中的交叉概率和变异概率,同时,将退火因子引入到选择概率的计算当中,应用这种整体退火模糊遗传算法优化层叠滤波器,并对设计的最优层叠滤波器的滤波性能进行分析,仿真结果表明,该方法优化的最优层叠滤波器有较好的去除噪声和细节保持能力。In this paper,fuzzy control is applied in genetic algorithm to control crossover and mutation probability,at the same time,it introduces annealing mechanism to selection operator,we apply the whole annealing fuzzy genetic algo- rithm to optimize stack filters and analyze its filtering performance.The performance of optimal stack filters is iUustra- ted by simulations,results of experiments show that the stack filters designed by this algorithm can suppress noise and protect the details of image effectively,It improve filtering capability.

关 键 词：模糊控制 整体退火 层叠滤波 遗传算法 图像处理 

分 类 号：TN713[电子电信—电路与系统]