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Grayscale Watersheds on Perfect Fusion Graphs

机译:完美的融合图上的灰度分水岭

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In this paper, we study topological watersheds on perfect fusion graphs, an ideal framework for region merging. An important result is that contrarily to the general case, in this framework, any topological watershed is thin.Then we investigate a new image transformation called C-watershed and we show that, on perfect fusion graphs, the segmentations obtained by C-watershed correspond to segmentations obtained by topological watersheds. Compared to topological watershed, a major advantage of this transformation is that, on perfect fusion graph, it can be computed thanks to a simple linear-time immersion-like algorithm. Finally, we derive characterizations of perfect fusion graphs based on thinness properties of both topological watersheds and C-watersheds.
机译:在本文中,我们研究了完美的融合图中的拓扑流域,是区域合并的理想框架。重要的结果是,与常规情况相反,在本框架中,任何拓扑流域都会薄。我们调查了一个名为C-s流域的新图像转换,我们表明,在完美的融合图上,C-datershed获得的分段对应通过拓扑流域获得的分割。与拓扑流域相比,这种转变的主要优点是,在完美的融合图上,由于简单的线性时间浸没算法,可以计算它。最后,我们基于拓扑流域和C-流域的薄度属性来衍生完美融合图。

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