基于边缘梯度的自动聚焦算法  

Auto-focusing algorithm based on the gradient of edge

作　　者：高赞[1] 姜威[1] 朱孔凤[1] 周贤 

机构地区：[1]山东大学信息科学与工程学院,山东济南250100

出　　处：《系统工程与电子技术》2007年第3期495-498,共4页Systems Engineering and Electronics

基　　金：山东省自然科学基金资助课题(Y2005G08)

摘　　要：针对传统自动聚焦算法所存在的问题,提出了一种基于边缘梯度的自动聚焦算法。首先通过阈值检测算法得到图像序列的边缘,把图像中的背景部分滤除,减少了背景信息的影响,从而可以提高算法的精确度和稳定性,然后用边缘像素的梯度值来表征最后图像的清晰程度。经过大量的仿真实验表明,所提算法不仅有单峰性强,无偏性好,灵敏度高等特点,而且还具有很好的抗噪声性能,具有很好的稳定性。The design of auto-focusing algorithm is a key problem in the auto-focusing technology. After careful research, there are some problems in the traditional auto-focusing algorithms. At first, the precision of algorithms must be improved; In addition, the stability of algorithms has to improve too, for instance, they are sensitive to noise. In order to solve these problems, an auto-focusing algorithm based on the edge gradient is proposed. Firstly, the image edge is gotten by the threshold algorithm, in this way, the background information of image is filtered, Thus the influence of background information is reduced and then the precision and stability of the algorithm is improved. Simulation results show that the algorithm not only has the characteristics of good unbiased, powerful of single apex and high sensitivity, but also has a good anti-noise and stability.

关 键 词：自动聚焦 评价函数 边缘 阈值 噪声 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]