提出了一种用于大面积高反物体的三维形貌测量方法。基于双色反射模型理论,提取了相机采集的条纹图像的漫反射分量,通过改进的反射分量分离算法对图像进行反射分量分离;对反射分量分离产生的图像空洞采用改进的种子填充算法进行修补;用三步相移结合质量引导算法得到连续相位,由系统标定的相位高度映射关系得到物体的高度信息。实验结果表明:所提方法实测误差约为0.23 mm,消除了93%~97%的高光像素,有效克服了反射光的干扰,对大面积反射光具有较好的稳健性。

A three-dimensional shape measurement method for large-area and high-reflection objects is proposed. Based on the theory of two-color reflection model, the diffuse reflection components of the fringe image collected by the camera are extracted. The reflection component of the image is separated by the improved reflection component separation algorithm. And the improved seed search algorithm is used to repair the image hollow caused by the reflection component separation. The three-step phase shift and quality guide algorithm are used to obtain the continuous phase. And the height information of the object is obtained by the phase height mapping relationship calibrated by the system.. The experimental results show that the measured error of this method is about 0.23 mm, which can eliminate 93%-97% of the number of high-light pixels, effectively overcomes the reflected light interference, and has good robustness for large-area reflected light.