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.
为去除特征中噪声的同时保持特征中的边缘，提出四分均值滤波器对特征滤波。
We proposes to use the quadrant-mean filter to smooth the noise in the feature while alleviating the boundary effect of the features.
该算法可以很好地保留原图边缘信息的同时，去除噪声。
This algorithm is well preserved, while Original edge information to remove noise.
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