• 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