Minkowski compactness measure

C. Martinez-Ortiz, R. Everson
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引用次数: 3

Abstract

Many compactness measures are available in the literature. In this paper we present a generalised compactness measure Cq(S) which unifies previously existing definitions of compactness. The new measure is based on Minkowski distances and incorporates a parameter q which modifies the behaviour of the compactness measure. Different shapes are considered to be most compact depending on the value of q: for q = 2, the most compact shape in 2D (3D) is a circle (a sphere); for q→∞, the most compact shape is a square (a cube); and for q = 1, the most compact shape is a square (a octahedron). For a given shape S, measure Cq(S) can be understood as a function of q and as such it is possible to calculate a spectum of Cq(S) for a range of q. This produces a particular compactness signature for the shape S, which provides additional shape information. The experiments section of this paper provides illustrative examples where measure Cq(S) is applied to various shapes and describes how measure and its spectrum can be used for image processing applications.
闵可夫斯基紧度测度
文献中有许多紧凑性度量方法。本文提出了一种广义紧度测度Cq(S),它统一了已有的紧度定义。新的测量是基于闵可夫斯基距离,并纳入了一个参数q,它修改了紧度测量的行为。不同的形状被认为是最紧凑的取决于q的值:对于q = 2,在2D (3D)中最紧凑的形状是圆(球体);对于q→∞,最紧的形状是正方形(立方体);对于q = 1,最紧凑的形状是正方形(八面体)。对于给定的形状S,测度Cq(S)可以理解为q的函数,因此可以计算出q范围内Cq(S)的谱。这为形状S产生了一个特殊的紧度签名,它提供了额外的形状信息。本文的实验部分提供了测量Cq(S)应用于各种形状的示例,并描述了如何将测量及其光谱用于图像处理应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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