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Image processing algorithm for extracting the phase map from structured lights

机译:用于从结构光中提取相图的图像处理算法

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In structured light three-dimensional measurement systems, the position of stripe in the structure light image reflects the three-dimensional shape information of the object being scanned. In this paper, we propose a semi-automatic 3D image processing algorithm that extracts the phase map from the distorted line pattern. The proposed method uses the stripe extraction approach to segment and cluster the stripe projected over the inspected object after Gaussian convolution denoising. Then a noise-aware smoothing spline fitting process is applied to the result to obtain single continuous stripe and the coordinates of the clustered stripes are calculated to form a phase matrix through a cubic polynomial interpolation procedure. After the camera and projector calibration, the 3D coordinates of the object are computed accurately and robustly. The experimental results show that the work is particularly effective.
机译:在结构光三维测量系统中,条纹在结构光图像中的位置反映了被扫描物体的三维形状信息。在本文中,我们提出了一种半自动3D图像处理算法,该算法可从扭曲的线条图案中提取相位图。在高斯卷积去噪之后,所提出的方法使用条纹提取方法对投影在检查对象上的条纹进行分割和聚类。然后,将噪声感知平滑样条拟合过程应用于结果,以获得单个连续条纹,并通过三次多项式插值过程计算聚类条纹的坐标,以形成相位矩阵。在对相机和投影仪进行校准之后,可以准确而可靠地计算出对象的3D坐标。实验结果表明该工作特别有效。

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