对于大量的钮扣，或节点，随着连接线段或边缘线数量的增加，系统突然从离散的断开的小群跳转到一个巨大的连接群。
For a large number of buttons, or nodes, as the number of connecting lines or edges increases, the system rather suddenly jumps from disconnected small clusters to a giant connected cluster.
在最优滤波器理论基础上，推导出离散域的最优平滑算子，抑制了图像的分割错误、噪声和伪边缘的影响。
The smooth operator is inferred based on the Optimal Discrete Filter's theory, which can reduce the influence of noise, false edges and image error.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
应用推荐