Evaluating the filtering process of the digital speckle pattern interferometry (DSPI) of a single image by the traditional methods can result in under- or over-filtering. To solve this problem, this paper proposes an image-filtering evaluation method based on the Sobel operator and image entropy. First, the Sobel operator is introduced to convolute a filtered image to obtain a gradient image of a DSPI. Then, by analyzing the gradient image, image entropy is calculated according to the characteristics of the gradient map. Finally, the proposed method is verified by experiments. The experimental results show that the proposed method can quantitatively evaluate the filtering process of the DSPI.

中文翻译：

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基于Sobel算子和图像熵的DSPI滤波评价方法

通过传统方法评估单个图像的数字散斑图案干涉 (DSPI) 的过滤过程可能会导致过滤不足或过度过滤。针对这一问题，本文提出了一种基于Sobel算子和图像熵的图像滤波评价方法。首先，引入Sobel算子对滤波后的图像进行卷积，得到DSPI的梯度图像。然后，通过分析梯度图像，根据梯度图的特征计算图像熵。最后，通过实验验证了所提出的方法。实验结果表明，所提出的方法可以定量评估DSPI的滤波过程。