卡尔曼滤波在图象识别中的应用  

APPLICATION OF KALMAN FILTERING ON IMAGE

作　　者：李智华[1] 王玉文[1] 

机构地区：[1]哈尔滨师范大学

出　　处：《哈尔滨师范大学自然科学学报》2005年第3期15-17,共3页Natural Science Journal of Harbin Normal University

摘　　要：最小邻域法使二维Kalman滤波技术得以在实时图象处理和识别领域中应用.这种方法的优点是既保持了Kalman滤波技术原有的性能,又大大地缩减了计算量.该方法对初值的给定范围要求不高,并且收敛速度快,滤波效果好.Kalman filtenng was applied in two dimensions image by minimum neighborhood method. This method could keep Kalman filter characteristic and reduce amount of computation. The other characteristics were any constant considered as initial value, higher speed of construction and better result of filtering.

关 键 词：卡尔曼滤波 图象识别 应用 KALMAN 实时图象处理 滤波技术 收敛速度 滤波效果 计算量 缩减 

分 类 号：TN713[电子电信—电路与系统] TP391.41[自动化与计算机技术—计算机应用技术]