基于自动检焦信号梯度信息的自适应平滑算法研究  

Research on self-adaptive Smoothing Algorithm Based on Gradient Information for Auto-Focusing

作　　者：刘志明[1,2] 戴明[1] 陈黎[1] 李清军[1] 王德江[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [2]中国科学院研究生院,北京100039

出　　处：《计算机测量与控制》2009年第5期977-979,共3页Computer Measurement &Control

摘　　要：近年来随着航空相机技术不断发展,高分辨率相机将成为未来航空相机的发展趋势;但环境的变化会使光学系统的性能发生显著的、随机的变化,因此,欲在恶劣的环境条件下获得最佳分辨率,必须使相机具有很高的检焦精度,然而由于测量元件及电源等的噪声的存在,大大影响了检焦信号精度;基于中值滤波和梯度信息的平滑滤波算法,介绍了一种新的自适应平滑算法,该算法有效地抑制扰动信号,更为真实的突现出峰值信号,从而大大提高了检焦精度;该方法大大减小了随机干扰对检焦结果的影响,提高了检焦精度,从而每次都能获得较为清晰的图像。In modem years following continuous development of photo-reconnaissance aircraft, the long focal and high resolution cameras is a mode being considered that will be applied to photo-reconnaissance aircraft in the future. With the cameras, unexpected changes in performance of optical system have been observed due to changes in the local environment. Therefore, to attain the best optimum resolution under adverse environmental conditions, the cameras must have a much accurate form for check focus. According to Median Filter and gradient information fliter, a new self-adaptive smoothing method is introduced. Which has improved the performance of auto focus by restraining noise and enhancing peak value.

关 键 词：航空相机 自动检焦 自适应滤波 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]