There is always a great challenge for the structured light technique that it is difficult to deal with the surface with large reflectivity variations or specular reflection. This paper proposes a flexible and adaptive digital fringe projection method based on image fusion and interpolated prediction search algorithm. The multiple mask images are fused to obtain the required saturation threshold, and the interpolated prediction search algorithm is used to calculate the optimal projection gray-level intensity. Then, the projection intensity is reduced to achieve coordinate matching in the unsaturated condition, and the adaptive digital fringes with the optimal projection intensity are subsequently projected for phase calculation by using the heterodyne multifrequency phase-shifted method. The experiments demonstrate that the proposed method is effective for measuring the high-reflective surface and unwrapping the phase in the local overexposure region completely. Compared with the traditional structured light measurement methods, our method can decrease the number of projected and captured images with higher modulation and better contrast. In addition, the measurement process only needs two prior steps and avoids hardware complexity, which is more convenient to apply to the industry.

中文翻译：

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通过使用图像融合和预测搜索，在具有较大反射率变化的3D形状测量中进行自适应条纹投影

对于结构光技术始终存在很大的挑战，即很难处理反射率变化较大或镜面反射较大的表面。提出了一种基于图像融合和内插预测搜索算法的灵活自适应数字条纹投影方法。融合多个掩模图像以获得所需的饱和度阈值，并使用插值预测搜索算法来计算最佳投影灰度级强度。然后，降低投影强度以在不饱和条件下实现坐标匹配，然后使用外差多频相移方法投影具有最佳投影强度的自适应数字条纹进行相位计算。实验表明，所提出的方法对于测量高反射表面和完全解开局部过度曝光区域中的相位是有效的。与传统的结构光测量方法相比，我们的方法可以减少具有更高调制度和更好对比度的投影图像和捕获图像的数量。此外，测量过程仅需要两个先前的步骤，并且避免了硬件的复杂性，这更便于应用于行业。