3D打印深度图像的获取及时空融合处理方法

Depth image acquisition and processing method based on spatio-temporal fusion in 3D printer

为在提高3D打印机精度的同时降低成本,引入基于全场光学相干层析技术高精度的视觉测量系统测量3D打印的工件,通过将工件的表面图像转换为深度图像,获得工件的深度信息。在此基础上,提出基于时间/空间融和的图像处理方法,在时间序列上,以深度图像灰度值的标准差为特征变量,经高斯曲线拟合,获取工件表面的实际深度值。在空间域中使用高斯滤波器降低噪声影响。实验结果表明,基于FFOCT的3D打印机深度测量系统精度远高于10μm。

To improve the accuracy of 3D printer and reduce the cost,based on the whole field of optical coherence tomography,a high precision vision measurement system was introduced to measure the depth of the 3D printing workpiece.The surface ima-ge of the workpiece was converted to the depth image to obtain the depth information of the workpiece.An image processing method based on spatio-temporal fusion was put forward.In time sequence,to obtain the actual depth of the workpiece surface,the standard deviation of gray value in depth image was chosen as the characteristic variable and the Gauss curve fitting was used.In spatial domain,the Gauss filter was used to reduce the impact of noise.Experimental results show that the accuracy of the depth measurement system based on FFOCT for 3D printer is much higher than 10μm.