In the process of extracting information from the moiré fringes, phase information extraction is one of the crucial means. In this paper, Gabor wavelet transform method is proposed to extract phase information of moiré fringes. First, the light intensity of first-ordered moiré fringe is selected to derive the phase based on the Gabor wavelet transform method. Then, to prove that our method is feasible, three flow fields are adopted for experiment, whose phase information is successfully extracted. Finally, the phase information results above are compared with those extracted by Fourier transform method, which proves that the Gabor wavelet transform method has an advantage in reducing noise. In a word, the results provide an effective means for the image processing of moiré fringes.

在从莫尔条纹中提取信息的过程中，相位信息提取是关键手段之一。本文提出了Gabor小波变换方法来提取莫尔条纹的相位信息。首先，选择一阶莫尔条纹的光强，基于Gabor小波变换方法推导出相位。然后，为了证明我们的方法是可行的，采用三个流场进行实验，成功提取了其相位信息。最后将上述相位信息结果与傅里叶变换方法提取的相位信息结果进行比较，证明了Gabor小波变换方法在降噪方面具有优势。总之，该结果为莫尔条纹的图像处理提供了一种有效的手段。