Adaptive Mathematical Morphology for Range Imagery

Abstract

We explore the application of adaptive (i.e., data-dependent) mathematical morphology techniques to range imagery, i.e., the use of structuring elements that automatically adjust to the grayscale values in a range image in order to deal with (e.g., extract or eliminate) features of known physical sizes.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1993
Accession Number
ADA272327

Entities

People

  • J. G. Verly
  • R. L. Delanoy

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Classification
  • Computer Vision
  • Detectors
  • Feature Extraction
  • Image Processing
  • Images
  • Intervals
  • Laser Radar
  • New York
  • Recognition
  • Signal Processing
  • Target Recognition
  • Three Dimensional
  • Video Images

Readers

  • Computer Vision.