Morphological Skeleton Representation and Coding of Binary Images.

Abstract

This paper presents a preliminary study on using Mathematical Morphology to represent and code a binary or a grey-tone image by parts of its skeleton, a thinned version of the image. An image can be uniquely decomposed into skeleton, a thinned version of the image. An image can be uniquely decomposed into skeleton components, and then reconstructed by dilating these components. Since, for a certain category of imagery, the skeleton components possess a lower entropy than the original image, a run-length or entropy coding scheme can be used to achieve representation or transmission of the image at a lower information rate than originally required. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA142250

Entities

People

  • P. A. Maragos
  • R. W. Schafer

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Coding
  • Digital Images
  • Electrical Engineering
  • Engineering
  • Image Processing
  • Images
  • New York
  • Notation
  • Scientific Research
  • Signal Processing
  • Skeleton
  • Symbols
  • Two Dimensional

Readers

  • Computer Programming and Software Development.
  • Computer Vision.