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Hierarchy Construction Schemes Within the Scale Set Framework

机译:规模集框架内的层次结构构建方案

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摘要

Segmentation algorithms based on an energy minimisation framework often depend on a scale parameter which balances a fit to data and a regularising term. Irregular pyramids are defined as a stack of graphs successively reduced. Within this framework, the scale is often denned implicitly as the height in the pyramid. However, each level of an irregular pyramid can not usually be readily associated to the global optimum of an energy or a global criterion on the base level graph. This last drawback is addressed by the scale set framework designed by Guigues. The methods designed by this author allow to build a hierarchy and to design cuts within this hierarchy which globally minimise an energy. This paper studies the influence of the construction scheme of the initial hierarchy on the resulting optimal cuts. We propose one sequential and one parallel method with two variations within both. Our sequential methods provide partitions near an energy lower bound defined in this paper. Parallel methods require less execution times than the sequential method of Guigues even on sequential machines.
机译:基于能量最小化框架的分段算法通常取决于比例参数,该比例参数平衡对数据的拟合和正则项。不规则金字塔定义为连续减少的一堆图。在此框架内,比例尺通常隐式地定义为金字塔中的高度。但是,不规则金字塔的每个级别通常不能轻易地与基本级别图上的能量的全局最优值或全局准则相关联。最后一个缺点是由Guigues设计的比例尺设置框架解决的。作者设计的方法允许构建层次结构,并在此层次结构中设计切口,从而在整体上最大程度地减少能量。本文研究了初始层次构造方案对最终最优割据的影响。我们提出了一种顺序和一种并行方法,两者都具有两种变化。我们的顺序方法提供了在本文定义的能量下限附近的分区。即使在顺序机器上,并行方法也比Guigues的顺序方法需要更少的执行时间。

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