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Adjacency lattices and shape-tree semilattices

机译:邻接格和形状树半格

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This paper further investigates a new approach for self-dual morphological processing, where eroded images have all shapes shrunk in a contrast-invariant way. In the binary case, we operate on a given image with morphological operators in the so-called "adjacency lattice," which is intimately related to the image's adjacency tree. These operators are generalized to grayscale images by means of the so-called "shape-tree semilattice," which is based on the tree of shapes of the given image. Apart of reviewing their original definition, different algorithms for computing the shape-tree morphological operators are addressed.
机译:本文进一步研究了一种用于自对偶形态学处理的新方法,其中侵蚀图像的所有形状都以对比度不变的方式缩小。在二进制情况下,我们使用形态学运算符在给定的图像上进行运算,即所谓的“邻接点阵”,该点与图像的邻接树密切相关。通过基于给定图像的形状树的所谓“形状树半格”,将这些算子推广到灰度图像。除了回顾其原始定义外,还讨论了用于计算形状树形态算子的不同算法。

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