• DocumentCode
    3000557
  • Title

    Morphological skeleton representation and shape recognition

  • Author

    Zhou, Ziheng ; Venetsanopoulos, A.N.

  • Author_Institution
    Dept. of Electr. Eng., Toronto Univ., Ont., Canada
  • fYear
    1988
  • fDate
    11-14 Apr 1988
  • Firstpage
    948
  • Abstract
    The nature of the morphological skeleton representation of a binary shape is related to the composition of structuring elements through the distance function defined by morphological set transforms in digital space. Two digital metrics, uniform-step distance and periodically-uniform-step distance, are introduced to provide useful spatial measures for morphological transforms. A natural shape representation by ribbonlike components is accomplished by extraction of skeletal feature primitives from the morphological skeleton of a shape. The hierarchical structure of the representation makes it stable and insensitive to noise disturbance. The matching is a simple top-down process in which the inverses of the skeletal feature primitives at each level are compared. The recognition is based on the similarity measure provided by the matching process
  • Keywords
    pattern recognition; binary shape; digital metrics; digital space; distance function; hierarchical structure; morphological set transforms; morphological skeleton representation; morphological transforms; natural shape representation; noise disturbance; periodically-uniform-step distance; recognition; shape recognition; similarity measure; skeletal feature primitives; top-down matching; Feature extraction; Microstructure; Morphology; Noise level; Noise shaping; Set theory; Skeleton; Structural shapes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1988.196747
  • Filename
    196747