• DocumentCode
    1537070
  • Title

    Threshold superposition in morphological image analysis systems

  • Author

    Maragos, Petros ; Ziff, Robert D.

  • Author_Institution
    Div. of Appl. Sci., Harvard Univ., Cambridge, MA, USA
  • Volume
    12
  • Issue
    5
  • fYear
    1990
  • fDate
    5/1/1990 12:00:00 AM
  • Firstpage
    498
  • Lastpage
    504
  • Abstract
    It is shown that four composite morphological systems, namely morphological edge detection, peak/valley extraction, skeletonization, and shape-size distributions obey a weak linear superposition, called threshold-linear superposition. The output image signal or measurement from each system is shown to be the sum of outputs due to input binary images that result from thresholding the input gray-level image at all levels. These results are generalized to a vector space formulation, e.g. to any finite linear combination of simple morphological systems. Thus many such systems processing gray-level images are reduced to corresponding binary image processing systems, which are easier to analyze and implement
  • Keywords
    picture processing; vectors; binary image processing; edge detection; gray-level image; morphological image analysis; peak/valley extraction; shape-size distributions; skeletonization; threshold-linear superposition; vector space; Feature extraction; Filters; Image analysis; Image edge detection; Image processing; Linear systems; Morphological operations; Morphology; Shape; Vectors;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.55110
  • Filename
    55110