The experimental results show that, the method is effective in clustering while dealing with undefined boundary problems, and is powerful in avoiding noise.
实验结果表明，该算法对聚类边界不清晰的数据集可获得较精确的聚类划分，同时具有很强的噪声抑制能力。
Research on image detection based on wavelet makes up the disadvantage in the traditional edge detection and improves the edge localization precision avoiding noise effectively.
基于小波变换的多尺度边缘提取算法，有效地弥补了传统的边缘检测算法的不足，在有效地抑制噪声的同时，提供了较高的边缘定位精度。
Research on image detection based on wavelet makes up the disadvantage in the traditional edge detection and improves the edge localization precision avoiding noise effectively.
基于小波变换的多尺度边缘提取算法，有效地弥补了传统的边缘检测算法的不足，在有效地抑制噪声的同时，提供了较高的边缘定位精度。
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