DocumentCode
2004146
Title
Minkowski compactness measure
Author
Martinez-Ortiz, Carlos ; Everson, Richard
Author_Institution
Dept. of Comput. Sci., Univ. of Exeter, Exeter, UK
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
62
Lastpage
66
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.
Keywords
image processing; shape recognition; Minkowski compactness measure; Minkowski distances; compactness signature; generalised compactness measure; image processing; shape descriptors; shape information; Educational institutions; Equations; Image processing; Q measurement; Shape; Shape measurement; Three-dimensional displays; computer vision; image processing; shape compactness; shape description;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence (UKCI), 2013 13th UK Workshop on
Conference_Location
Guildford
Print_ISBN
978-1-4799-1566-8
Type
conf
DOI
10.1109/UKCI.2013.6651288
Filename
6651288
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