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基于二维经验模态分解特性,提出了一种基于BEMD-自适应滤波的干涉图抑制噪声算法,并对自适应滤波的窗口进行了改进。根据窗内特征自适应调节窗口大小,并通过门限来决定是否需要改变窗口尺寸,达到在同性质区增大窗口来抑制噪声,在异性质区减小窗口以最大限度地保护图像细节的目的。实验表明,该算法不仅能有效地抑制干涉图的噪声,增强滤波的局部自适应性,而且能很好地保持条纹的细节信息。
Based on the two-dimensional empirical mode decomposition, an interference suppression noise algorithm based on BEMD-adaptive filtering is proposed, and the window of adaptive filtering is improved. According to the feature of the window, the size of the window is adjusted adaptively, and the threshold is used to decide whether the window size needs to be changed to increase the window in the same property area to suppress the noise and reduce the window in the opposite-sex area to maximize the image detail. Experiments show that this algorithm not only can effectively suppress the noise of the interferogram, enhance the local adaptability of the filter, but also can keep the detail information of the fringe well.