一种基于模糊自动机的目标识别方法  

Target Recognition Based on Fuzzy Automata

作　　者：吴青娥[1] 王拓[1] 刘卫亮 黄永宣[1] 李济生[1] 舒兰[1] 

机构地区：[1]西安交通大学电子与信息工程学院,西安710049

出　　处：《模式识别与人工智能》2008年第1期56-61,共6页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金资助项目(No.10671030)

摘　　要：为更好地识别目标,提出一种基于模糊自动机的目标识别系统.该系统先对图像进行处理,然后对目标识别.系统包括图像预处理、特征提取、目标匹配和实验4个部分.与现有的其它方法相比,本文方法利用目标图像的全局特征和局部特征,并运用模糊自动机进行目标识别.仿真结果表明,基于模糊自动机的目标识别效果比现有其它识别方法的识别效果要好,其正确识别率高达94.59%.A target recognition system based on fuzzy automata is presented. The system first performs image processing, then accomplishes the target recognition. The system consists of four parts. image preprocessing, feature extraction, target matching and experiment. Compared with the existing approaches, both global and local features of target image are utilized in this system, and fuzzy automata is used for target recognition. Simulation results show that the result of the target recognition based on fuzzy automata is better than that of other approaches. The recognition rate, as high as 94.59%, is achieved.

关 键 词：小波变换 模糊自动机(FA) 目标识别 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]