散斑图像轮廓和背景去噪方法研究

Junyao Yin, Xinglong Zhu
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引用次数: 0

摘要

当激光光斑直接照射在被测物体表面时,散斑的中心坐标值(CCV)的精度会影响深度信息。建立了单目视觉和激光光斑组合的透镜成像模型,推导了散斑CCV与深度信息的解析关系,阐述了散斑轮廓噪声和背景噪声产生的原因,提出了去噪方法,设计了相应的去噪算法。最后,通过理论数据仿真验证了所提方法的可行性,所提算法能够保证散斑CCV的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Denoise Method of Speckle Image Contour and Background
When the laser spot is irradiating directly on the surface of the measured object, the accuracy of the center coordinate value (CCV) of the speckle will affect the depth information. A lens imaging model of monocular vision and laser spot combination was established, the analytical relationship between CCV of the speckle and depth information was derived, the causes of speckle contour noise and background noise were expounded, the denoise method was proposed and the corresponding denoise algorithm was designed. Finally, the simulation verifies that the proposed method is feasible by theoretical data, and the proposed algorithm enables to ensure the robustness of CCV of the speckle.
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