该方法克服了均值漂移滤波存在块状效应的缺点。实验结果表明，该方法的整体性能优于均值漂移滤波、高斯滤波和中值滤波。

Experiments show that his method overcomes the defect of blocky effect in mean shift filtering, and is superior to mean shift filtering, Gaussian scale space filtering and median filter.

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实验结果表明，与传统的中值滤波和均值滤波算法相比，该算法能够有效地去除高斯和脉冲噪声，同时能够保留更多的图像细节信息。

As a result, the experiment shows that the algorithm can effectively filter out Gaussian and impulse noises, as well as preserve more detailed information of the original image.

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对中值滤波、均值滤波和高斯滤波的去噪效果进行了比较和分析，并将其应用到声呐图像的平滑过程中。

The results of noise reduction with a median filter, a average filter and a gauss filter are analyzed. The author applies these algorithms to the sonar image smoothing.

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