应用于条纹中心提取的非对称条纹调整方法

Asymmetric Stripe Adjustment Method for Stripe Center Extraction

针对结构光测量中条纹灰度非对称分布使条纹中心提取精度降低的问题,提出了一种应用于条纹中心提取的条纹灰度非对称调整方法。首先对初始灰度进行幂运算,将初始灰度和幂运算结果相减,并对相减结果进行灰度补偿,然后利用补偿后的灰度再进行迭代,直至满足迭代终止条件。此外,分析了条纹灰度非对称分布的影响因素,提出了条纹灰度分布的评价参数,并对所提方法进行了实验验证。实验结果表明,该方法可以根据条纹灰度的初始分布情况对条纹灰度进行有效调整,迭代结果突出了最大值附近的灰度信息,降低了灰度非对称分布对条纹中心提取的影响,提高了条纹中心提取的精度。上述结果验证了该方法的有效性和可靠性。

A method of stripe gray-scale asymmetry adjustment for strip center extraction is proposed to solve the problem that stripe gray-scale asymmetric distribution degrades the accuracy of stripe center extraction in the structured light measurement. Firstly, the exponentiation of initial gray-scale is obtained. The initial gray-scale is subtracted from exponential calculation result, and the subtraction result is gray-compensated. Then, the gray-scale after compensation is used to iterate until the iteration termination conditions are satisfied. Moreover, the factors that affect the asymmetry of stripe gray-scale distribution are analyzed, and the evaluation parameter of the stripe gray-scale distribution is put forward. Experiments are conducted to verify the proposed method. The results show that the algorithm can effectively adjust the stripe gray-scale according to the initial gray-scale distribution. The iteration result highlights the gray information around the maximum value, reduces the impact of gray-scale asymmetric distribution on stripe center extraction, and improves the accuracy of stripe center extraction. Based on these results, the validity and reliability of this method are verified.