Image Segmentation via Fractal Dimension

Abstract

The purpose of this study was to investigate the suitability of algorithms derived from the study of fractal geometry to the specific problem of image segmentation. The use of two widely used methods and an original hybrid technique for calculating fractal dimension is demonstrated. All three techniques appeared to be effective to some extent in segmenting images, but shared a common problem with the establishment of suitable thresholds for robust segmentation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA188825

Entities

People

  • Alan L. Jones

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Brownian Motion
  • Calculators
  • Computers
  • Data Processing
  • Engineering
  • Geometry
  • Graphics
  • Image Processing
  • Image Segmentation
  • Pattern Recognition
  • Plane Geometry
  • Recognition
  • Three Dimensional
  • Two Dimensional

Readers

  • Computer Vision.
  • Systems Analysis and Design