基于阈值优化抖动算法的高质量三维形貌测量

针对离焦二元编码技术中条纹图案的高次谐波分量会引入测量误差的问题, 提出了一种通过阈值优化抖动算法生成二元图像的方法.引入参数γ动态调整阈值, 考虑图像不同像素灰度值对抖动算法的影响, 改善离焦后抖动图像条纹的正弦性.仿真和实验结果表明: 在引入参数γ=50时, 离焦后的阈值优化抖动算法条纹具有更好的正弦性; 相比传统Floyd-Steinberg抖动算法, 在条纹周期为40 pixel时, 该方法所得相位均方根误差减小0.013 7 rad, 且对模型凹陷突变区域成像更清晰, 显著提高了物体表面还原的图像质量.

Abstract

In order to solve the problem that for defocus binary coding technique, the higher harmonic components in the fringe pattern cause measurement errors, a method of generating a binary image by threshold optimization dithering algorithm is proposed. By introducing the parameter γ to dynamically adjust the threshold, and considering the influence of different pixel gray values of the image on the dithering algorithm, the sinusoidality of the dithered image stripe after defocusing is improved. Simulation and experiments show that using the threshold optimization dithering algorithm, the fringe after defocusing has better sinusoidality when the parameter γ is 50. Compared with the traditional Floyd-Steinberg dithering algorithm, the root mean square error can be reduced by 0.013 7 rad when the fringe period is 40 pixel. The imaging is more clear for the sag of the model, and the image quality of the surface reduction of the object is significantly improved.

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孟森森, 蔡宁, 林斌. 基于阈值优化抖动算法的高质量三维形貌测量[J]. 光子学报, 2019, 48(8): 0812002. MENG Sen-sen, CAI Ning, LIN Bin. Threshold-optimized Dithering Technique for High-quality 3D Shape Measurement[J]. ACTA PHOTONICA SINICA, 2019, 48(8): 0812002.

基于阈值优化抖动算法的高质量三维形貌测量

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