一种基于边缘扩散函数描述散焦程度的测距算法  

Depth measuring method based on using Edge Spread Function to describe defocusing degrees of images

作　　者：韩丽燕[1] 王黎明[1] 刘宾[1] 

机构地区：[1]山西中北大学信息探测与处理技术研究所

出　　处：《传感器世界》2011年第2期9-11,共3页Sensor World

基　　金：山西省自然科学基金项目(编号:2007012003)

摘　　要：基于散焦图像的景物距离信息获取是当前计算机视觉研究的热门课题,但当前多数方法存在有一定的局限性,无法满足现代高效率工业检测技术的要求。本文提出一种散焦测距的新方法,该方法利用调制传递函数(MTF)来描述图像的散焦程度,通过对测量系统进行标定得到物距与散焦程度之间的关系曲线,再求得被测物在未知物距上的MTF值,根据对系统标定所得的关系曲线即可得出被测物的距离信息。实验结果表明了该方法的有效性。How to get the depth information from defocusing images is a hot topic in current computer vision research. But most exiting methods have some limitations and are unable to meet the technical requirements of the modem industries. A new method for completing depth measurement based on defocusing images is proposed in this paper. This method uses Modulation Transfer Function（MTF） to describe the defocusing degrees of images and the relationship curve between the object depths and defocusing degrees can be obtained by calibrating the measuring system . After the MTF value to the unknown object depth being worked out of ,the depth information of measured object can be obtained according to the system calibration curve. The experiment results show that this method is effective.

关 键 词：散焦 调制传递函数(MTF) 边缘扩散函数(ESF) 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]