Morphology Workshop

Abstract

Mathematical morphology provides the operations of dilation, erosion, opening and closing for performing non-linear image analysis for binary or grayscale images. The algebra of mathematical morphology is as rich as the algebra of convolution and correlation. The algebra is not based on linear combination and has no relation to spatial frequencies. Rather, it has an intrinsic connection to shape due to the primitive matching property inherent in the opening and closing morphological operations. Mathematical morphology can be important component of many of the future smart sensors the Army is developing. The technology of mathematical morphology has proved itself in the manufacturing industry where it is being successfully used on the factory floor for visual robot guidance, object recognition, inspection, and flaw detection. Almost every company manufacturing pixel pushing machine vision boards has one board capable of performing mathematical morphology as well as the traditional convolution operations.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA226064

Entities

People

  • Robert M. Haralick

Organizations

  • University of Washington

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Computer Programming
  • Computer Vision
  • Computers
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Image Processing
  • Manufacturing
  • Object Recognition
  • Recognition
  • Signal Processing
  • Standards
  • Target Recognition
  • Two Dimensional

Readers

  • Image Processing and Computer Vision.
  • Nanocomposite Materials Science
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Translation
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs