• DocumentCode
    1132992
  • Title

    Flexible architectures for morphological image processing and analysis

  • Author

    Loui, Alexander C P ; Venetsanopoulos, A.N. ; Smith, K.C.

  • Author_Institution
    Dept. of Electr. Eng., Toronto Univ., Ont., Canada
  • Volume
    2
  • Issue
    1
  • fYear
    1992
  • fDate
    3/1/1992 12:00:00 AM
  • Firstpage
    72
  • Lastpage
    83
  • Abstract
    An architecture for the efficient and high-speed realization of morphological filters is presented. Since morphological filtering can be described in terms of erosion and dilation, two basic building units performing these functions are required for the realization of any morphological filter. Dual architectures for erosion and dilation are proposed and their operations are described. Their structure, similar to the systolic array architecture as used in the implementation of linear digital filters, is highly modular and suitable for efficient very-large-scale integration (VLSI) implementation. A decomposition scheme is proposed to facilitate the implementation of two-dimensional morphological filters based on one-dimensional structuring elements constructed using the dual architectures. The proposed architectures, which also allow the processing of gray-scale images, are appropriate for applications where speed, size, and cost are of critical significance
  • Keywords
    VLSI; computerised picture processing; digital filters; digital signal processing chips; parallel architectures; pipeline processing; VLSI; dilation; erosion; flexible architectures; gray-scale images; high-speed realization; image analysis; modular nonlinear pipeline architectures; morphological image processing; one-dimensional structuring elements; two-dimensional morphological filters; very-large-scale integration; Buildings; Costs; Filters; Image analysis; Image processing; Machine vision; Real time systems; Systolic arrays; Throughput; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.134373
  • Filename
    134373