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有效去除数字散斑条纹图中的噪声是散斑干涉测量技术中的关键问题。提出了一种基于Goldstein滤波的数字散斑条纹图平滑方法。该方法需要将散斑条纹图中的干涉相位转换为矢量空间中的单位矢量,并进行快速傅里叶变换(FFT),得到其频谱,然后对频谱进行加权处理,从而抑制噪声的频率成分,再将加权处理后的频谱变换到空间域,计算干涉相位,得到原始散斑条纹图的滤波结果。将该滤波方法运用于四步相移数字散斑干涉条纹图像处理。实验结果表明,该方法在滤除散斑噪声的同时能够有效地保护散斑条纹图的轮廓和细节信息,增强了散斑干涉条纹的对比度。
Effective removal of noise in digital speckle fringes is a key issue in speckle interferometry. A digital speckle fringe smoothing method based on Goldstein filter is proposed. The method needs to transform the interference phase in the speckle fringe pattern into the unit vector in the vector space and perform fast Fourier transform (FFT) to obtain its spectrum, and then weight the spectrum so as to suppress the frequency components of the noise, Then the weighted spectrum is transformed into the space domain, and the interference phase is calculated to obtain the filtered result of the original speckle fringe pattern. The filter method is applied to four-step phase shift digital speckle fringe image processing. The experimental results show that this method can effectively remove the speckle noise while preserving the contour and detail information of the speckle fringe pattern and enhancing the contrast of speckle fringe pattern.