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Extensive operators in partition lattices for image sequence analysis

机译:用于图像序列分析的分区晶格中的广泛操作符

摘要

This paper deals with the class of extensive operators in the lattice of partitions. These operators are merging techniques. They can be used as filtering tools or as segmentation algorithms. In the first case, they are known as connected operators and, in the second case, they are region growing techniques. This paper discusses the basic elements that have to be defined to create a merging algorithm: merging order, merging criterion and region model. This analysis highlights the similarity and differences between a filtering tool, such as a connected operator, and a segmentation algorithm. Taking benefit from the filtering and segmentation viewpoints, we propose a general merging algorithm that can be used to create new connected operators (in particular self-dual operators) and efficient segmentation algorithms (robust criteria and efficient implementation).
机译:本文讨论了分区格中的广义算子的一类。这些运算符是合并技术。它们可用作过滤工具或分割算法。在第一种情况下,它们被称为连通算子,在第二种情况下,它们是区域生长技术。本文讨论了创建合并算法必须定义的基本元素:合并顺序,合并标准和区域模型。该分析突出显示了过滤工具(例如,连接的运算符)与细分算法之间的异同。从过滤和分割的角度出发,我们提出了一种通用的合并算法,可用于创建新的连接运算符(尤其是自对偶运算符)和有效的分割算法(稳健的准则和有效的实现)。

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