模糊遗传图像相关匹配算法  

Image Correlation Matching Method Based on Fuzzy Genetic Algorithm

作　　者：杨延西[1] 刘丁[1] 辛菁[1] 

机构地区：[1]西安理工大学,西安710048

出　　处：《仪器仪表学报》2005年第11期1166-1169,共4页Chinese Journal of Scientific Instrument

摘　　要：针对遗传算法中交叉概率和变异概率所存在的问题,利用模糊推理系统来自适应估计交叉概率和变异概率,提出了基于模糊遗传算法(FGA)的图像相关匹配算法,并进行了大量实验研究,实验结果证明该方法对解决具有噪声情况下的图像匹配问题十分有效。A new image correlation matching method based on fuzzy genetic algorithms （FGA） is presented to solve the problems of crossover probability and mutation probability, the new algorithm adaptively estimates the crossover probability and mutation probability based on fuzzy system technology. Many experiments are carried out. The experimental results show that this method is very effective for image matching processing with noise.

关 键 词：图像相关匹配 图像匹配 模糊遗传算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]