基于空域均值法的双频三维轮廓测量

Dual-frequency Three-dimensional Profilometry Measurement Based on Mean Method of Spatial Domain

针对传统双频三维轮廓测量方法存在分辨率低、数据处理时间长等问题,提出基于空域均值的双频三维轮廓测量方法。该方法通过空域均值图像对采集到的包含物体深度信息的双频结构光图像进行处理,得到物体表面的真实深度信息,提高测量效率和测量精度。通过对物体模型的测量,证明由该方法构成的系统输入、输出满足线性关系,并且可以实现高效、高分辨率的三维物体轮廓测量。

The traditional dual-frequency three-dimensional profilometry measurement cannot be directly used due to its low resolution and long time of data processing. Therefore, this paper presents a 3D vision system based on the mean method of spatial domain. This method processes the dual-frequency structured light images which include depth information with mean image of spatial domain, obtains real depth information of the surface. It not only improves the measurement efficiency, but also improves the measurement accuracy. As a result, through measuring of the natural objects, linear relationship of the input-output of the system which is posed by this method is proved, and this method can efficiently work in three-dimensional profile measurement with high resolution.