基于测地线距离图的图上形态学算子

Imane Youkana, R. Saouli, J. Cousty, M. Akil
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引用次数: 1

摘要

在本文中,我们感兴趣的是在[1][2]中定义的基于图的数学形态学算子(膨胀、侵蚀、开口、闭合、交替过滤器)。这些运算符依赖于一个大小参数,并且在数学形态学中经常如此;它们是由初等膨胀/侵蚀的迭代序列得到的。基本运算符的迭代次数直接取决于参数的大小。因此,这会导致运行时间随着参数大小的增加而增加。为了优化计算时间,我们提出了另一种基于图中测地线距离图计算的算法变体。计算的距离图允许我们确定(通过阈值),对于参数大小的任何值,将一组顶点映射到一组边,将一组边映射到一组顶点的膨胀和侵蚀。所提出的算法允许通过单个(线性时间)迭代来计算运算符。因此,与多迭代原始方法相比,处理时间得到了改善,并且不再依赖于参数大小。
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Morphological operators on graph based on geodesic distance map
In this article, we are interested in the graph-based mathematical morphology operators (dilations, erosions, openings, closings, alternated filters) defined in [1] [2]. These operators depend on a size parameter and, as often in mathematical morphology; they are obtained by iterative successions of elementary dilations/erosions. The number of iterations of the elementary operators depends directly of the parameter size. Thus, this leads to running times that increase with respect to the parameter size. In order to optimize this computation time, we propose another algorithmic variant that is based on the computation of geodesic distance maps in graphs. The computed distance map allows us to determine (by thresholding), for any value of the parameter size, dilations and erosions that map a set of vertices to a set of edges and a set of edges to a set of vertices. The proposed algorithm allows the operators to be computed with a single (linear-time) iteration. Therefore, the processing time is improved compared to the time of the multi-iterations original method and does not depend of the parameter size anymore.
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