说明：  Mean Shift算法的基本原理，着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析，本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。
(The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feature space. Mean Shift structural analysis, this chapter proposes a fast region merging algorithm and apply the Improved Mean Shift image segmentation algorithm.)