• DocumentCode
    1383101
  • Title

    Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification

  • Author

    Guo, Qi ; Falei Guo ; Shao, Jiaqing

  • Author_Institution
    Strangeways Res. Lab., Univ. of Cambridge, Cambridge, UK
  • Volume
    32
  • Issue
    10
  • fYear
    2010
  • Firstpage
    1730
  • Lastpage
    1743
  • Abstract
    This paper presents a set of imperfectly symmetric measures based on a series of geometric transformation operations for quantitatively measuring the “amount” of symmetry of arbitrary shapes. The definitions of both bilateral symmetricity and rotational symmetricity give new insight into analyzing the geometrical property of a shape and enable characterizing arbitrary shapes in a new way. We developed a set of criteria for quantitative galaxy classification using our proposed irregular shape symmetry measures. Our study has demonstrated the effectiveness of the proposed method for the characterization of the shape of the celestial bodies. The concepts described in the paper are applicable to many fields, such as mathematics, artificial intelligence, digital image processing, robotics, biomedicine, etc.
  • Keywords
    computational geometry; pattern classification; arbitrary shapes; artificial intelligence; biomedicine; digital image processing; geometric transformation operations; geometrical property; irregular shape symmetry analysis; quantitative galaxy classification; robotics; Accidents; Artificial intelligence; Biomedical measurements; Digital images; Fractals; Intelligent robots; Mathematics; Reflection; Rotation measurement; Shape measurement; Bilateral and rotational symmetry; galaxy classification.; irregularity; symmetry measure;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2010.13
  • Filename
    5383363