A Note on the Use of Local MIN and MAX Operations in Digital Picture Processing

Abstract

Shrinking and expanding operations on two-valued digital pictures are useful for noise removal, as well as for detecting dense regions and elongated parts of objects. For grayscale pictures, the analogs of shrinking and expanding are local MIN and MAX operations. These operations commute with thresholding; thus if they are applied to a grayscale picture, followed by thresholding, the result is the same as if the picture were first thresholded and shrinking and expanding were then performed. Applying MIN and MAX operations prior to thresholding thus makes it possible to defer the choice of a threshold, which may be easier to select after these operations have been performed.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1977
Accession Number
ADA049589

Entities

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  • Azriel Rosenfeld
  • Yasuo Nakagawa

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  • University of Maryland

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  • Materials and Manufacturing Processes

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  • Computer Science
  • Computers
  • Contracts
  • Detection
  • Engineering
  • Fuzzy Sets
  • Histograms
  • Image Processing
  • Iterations
  • Maryland
  • Mathematics
  • Night Vision
  • Production Engineering
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  • Educational Psychology
  • Image Processing and Computer Vision.
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