说明：  本文提出的超像素渐进合并算法应用了图论的基本框架：一幅图像被映 射成一个加权的无向图，其中超像素被当作图中的顶点，而相邻超像素之间通过边 相连，由超像素间的相似度计算出相应边的权值，通过排序每次合并权值最小的两 个超像素。
(Shot into a weighted undirected graph, including super pixels as the vertices in the graph, and the adjacent pixels by boundary between Is linked together, calculated the degree of similarity between super pixels corresponding edge weights, sort through combined weights of the smallest two at a time A pixel.)