Symmetry detection by generalized complex (GC) moments: a close-form solution

  • Dinggang Shen
  • , Horace H.S. Ip
  • , Kent K.T. Cheung
  • , Earn Khwang Teoh

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper presents a unified method for detecting both reflection-symmetry and rotation-symmetry of 2D images based on an identical set of features, i.e., the first three nonzero generalized complex (GC) moments. This method is theoretically guaranteed to detect all the axes of symmetries of every 2D image, if more nonzero GC moments are used in the feature set. Furthermore, we establish the relationship between reflectional symmetry and rotational symmetry in an image, which can be used to check the correctness of symmetry detection. This method has been demonstrated experimentally using more than 200 images.

    Original languageEnglish
    Pages (from-to)466-476
    Number of pages11
    JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
    Volume21
    Issue number5
    DOIs
    Publication statusPublished - 1999

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Computational Theory and Mathematics
    • Artificial Intelligence
    • Applied Mathematics

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