一种抗噪声的图像自动对焦算法  

An Anti-Nosie Algorithm to Auto-Focusing

作　　者：姚敏[1] 吴政南[1] 

机构地区：[1]武汉大学东湖分校电信学院,湖北武汉430212

出　　处：《光学与光电技术》2011年第2期41-45,共5页Optics & Optoelectronic Technology

摘　　要：传统的图像自动对焦算法易受环境噪声影响,导致焦距评价函数的单峰性、无偏性和灵敏度降低。提出了一种基于噪声抑制的图像自动对焦算法,采用Sobel算子加权滤波抑制噪声,再利用全局门限分割边缘像素,最后用四种算子作为对焦评价函数,得出对焦曲线。实验表明,该算法具有较好的抗噪声性能。Conventional auto-lousing algorithms are usually influenced by envoriment noise, which reduces the single apex, unbias and seneitivity of fouesing function. A noise suppressing algorithm to auto-focusing is proposed, which suppresses noise with the Sobel filtering detector and global threshod to separate the edge pixels. The focusing curves are plotted from the sequcen images with four detecors. Experiments show that the method has strong performance of anti noise.

关 键 词：自动对焦 噪声 门限 评价函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]