摘要
近年来数字相关法发展迅速并被广泛应用于多个领域,而如何提高其收敛速度和结果的精度是该方法的重要研究方向之一。据此提出一种基于卡尔曼滤波器预测的自适应十字搜索模式算法,并将其应用于数字相关测量中,在不降低结果精度的同时,明显地改善了计算复杂度,提高了收敛速度,保证了实时处理和更进一步精确计算的要求。仿真试验表明,该算法应用在数字相关测量中可以有效对目标进行快速持续的跟踪检测。
Digital correlation method has been developed rapidly and widely used in different fields. The important research directions are how to obtain the high accuracy and improve the convergence rate. An algorithm of sell-adaptive rood pattern search based on Kalman filter is presented. It significantly improved the computational complexity and convergence speed, and ensured the accurate calculation of real-time processing without reduction of the measurement accuracy. Simulation results show that the proposed algo- rithm can perform the rapid and sustained tracking detection in digital image correlation measurement.
出处
《现代电子技术》
2011年第4期119-121,128,共4页
Modern Electronics Technique
