Fine-grained components are more numerous and are used to organize the implementation of logic in a system, often implementing a detailed technical algorithm.

细粒度组件数量更多，用于组织系统中逻辑的实现，通常实现详细的技术算法。

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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.

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。

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On this basis, focusing on the traditional clustering algorithm to do a more detailed description, and pointed out the existing problems, but also the analysis of these issues.

在此基础上，重点对传统的聚类算法做了比较详细的介绍，并指出了其中存在的问题，还对这些问题进行了分析。

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