In this paper, we prove that the self-dual morphological hierarchical structure computed on a n-D gray-level wellcomposed image u by the algorithm of G{\'e}raud et al. [1] is exactly the mathematical structure defined to be the tree of shape of u in Najman et al [2]. We recall that this algorithm is in quasi-linear time and thus considered to be optimal. The tree of shapes leads to many applications in mathematical morphology and in image processing like grain filtering, shapings, image segmentation, and so on.
翻译:在本文中,我们证明由G~'e}raud等人的算法计算,在正-D灰色层精心构造的图象上计算的自我形态等级结构[1]正是纳吉曼等人的数学结构,被界定为u形状的树[2]。我们回顾,这一算法处于准线性时间,因此被认为是最佳的。形状树在数学形态学和图像处理方面,如谷物过滤、成形、图像分割等等,可以带来许多应用。