Applications of Mathematical Morphology to Range Imagery

Abstract

Although little known, mathematical morphology offers great potential in the areas of image enhancement, feature extraction, and object recognition. This work explores this growing field through a survey of established morphological algorithms and the developement of new morphological algorithms for range image analysis. With range imagery, mathematical morphology is used for noise removal, 2-D feature extraction, 3-D feature extraction, and 3-D corner extraction.

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Document Details

Document Type
Technical Report
Publication Date
Dec 23, 1987
Accession Number
ADA189316

Entities

People

  • Jacques G. Verly
  • Thomas R. Esselman

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Change Detection
  • Computer Programming
  • Computer Vision
  • Computers
  • Detection
  • Detectors
  • Digital Image Processing
  • Feature Extraction
  • Geometry
  • Gray Scale
  • Image Processing
  • Operating Systems
  • Pattern Recognition
  • Printed Circuits
  • Recognition
  • Three Dimensional
  • Two Dimensional

Readers

  • Neural Network Machine Learning.
  • Radar Systems Engineering.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation