Digital Processing of Aircraft Images to Extract Silhouettes.

Abstract

Development of digital techniques to classify aircraft from visual images has been done using moment invariants of the aircraft silhouette. Application of these techniques requires a clear silhouette and is often impossible to apply to images which contain blurring or background clutter. This memorandum describes digital image processing techniques which will allow the extraction of representative silhouettes from noisey images. These techniques include edge detection and frame averaging and are applied to visual images with background clutter and blurring due to sensor jitter. Application to FLIR images is also presented.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1977
Accession Number
ADA045143

Entities

People

  • G. Gardner
  • J. Mendelsohn
  • M. Wohlers

Organizations

  • Grumman

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aircraft Models
  • Aircrafts
  • Algorithms
  • Background Noise
  • Boundaries
  • Detectors
  • Extraction
  • Gaussian Distributions
  • Gray Scale
  • High Reliability
  • Images
  • Intensity
  • Noise
  • Photographs
  • Silhouettes
  • Simulations
  • Standards

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Radar Systems Engineering.