改进的次条纹积分相位分析技术

Improved subfringe integration technique for phase analysis

  • 摘要: 条纹花样的单帧相位解调算法在实时、动态测量技术中具有广泛应用。次条纹积分算法具有较高抗噪能力,但其采用载频近似估算形变条纹周期时存在频率失配的固有缺陷,提出一种改进的次条纹积分算法,对条纹的局域频率进行探测,利用局域频率进行次条纹积分,然后再计算相位。模拟实验表明,改进算法的最大误差约为原算法的1/3,并通过条纹投影轮廓术实验进一步证明了改进算法的有效性,为单帧条纹相位分析技术提供了一种可供选择的新算法。

     

    Abstract: Singleframe phase demodulation algorithms for fringe pattern are widely employed in realtime and dynamic measurement techniques. Subfringe integration(SI) algorithm has an advantage of strong antinoise ability. However, the period estimation of the deformed pattern using the carrier frequency would result in frequency mismatch. Against the inherent defect, an improved algorithm was proposed. The proposed algorithm estimated the local frequency, and then computed the intensity integration for phase extraction. Results show that the phase error of the new algorithm is one third of the original algorithm in simulations. The finge projection profilometry experiment was also conducted to demonstrate the validity of the proposed algorithm. This papar provides a candidate for singleframe fringe phase analysis technique.

     

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