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Comparison of Local and Global Region Merging in the Topological Map

机译:拓扑图中本地和全球区域合并的比较

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The topological map is a model that represents 2D and 3D images subdivision. It aims to allow the use of topological and geometrical features of the subdivision in image processing operations. When handling regions in an image, one of the main operation is the region merging, for example in segmentation process. This paper presents two algorithms of region merging in 3D topological maps: one local which modifies locally the map around merged regions, and another one global which runs through all the elements of the map. We study their complexities and present experimental results to compare both approaches.
机译:拓扑图是代表2D和3D图像细分的模型。其目的是允许在图像处理操作中使用细分的拓扑和几何特征。当处理图像中的区域时,主要操作之一是区域合并,例如在分割过程中。本文介绍了3D拓扑图中区域合并的两种算法:一种是局部地对合并区域周围的地图进行修改的算法,另一种是遍历该地图所有元素的全局算法。我们研究了它们的复杂性,并提出了实验结果以比较这两种方法。

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