A ‘gas of circles’ phase field model and its application to tree crown extraction

P. Horváth, Ian H. Jermyn
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引用次数: 13

Abstract

The problem of extracting the region in the image domain corresponding to an a priori unknown number of circular objects occurs in several domains. We propose a new model of a `gas of circles', the ensemble of regions in the image domain composed of circles of a given radius. The model uses the phase field reformulation of higher-order active contours (HOACs). Phase fields possess several advantages over contour and level set approaches to region modelling, in particular for HOAC models. The reformulation allows us to benefit from these advantages without losing the strengths of the HOAC framework. Combined with a suitable likelihood energy, and applied to the tree crown extraction problem, the new model shows markedly improved performance, both in quality of results and in computation time, which is two orders of magnitude less than the HOAC level set implementation.
“圆气”相场模型及其在树冠提取中的应用
在多个领域中都存在着先验未知圆形物体数量所对应的图像域区域提取问题。我们提出了一种新的“圆气体”模型,即图像域中由给定半径的圆组成的区域的集合。该模型采用高阶活动轮廓(hoac)的相场重构。相场在区域建模中比轮廓和水平集方法有几个优点,特别是对于HOAC模型。重新制定使我们能够从这些优势中受益,而不会失去HOAC框架的优势。结合合适的似然能,应用于树冠提取问题,新模型在结果质量和计算时间上都有显著提高,比HOAC水平集实现减少了两个数量级。
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