High-Point Descriptor Technique for the Identification of Ship Silhouettes at Various Aspect Angles.

Abstract

A 'High-point' descriptor technique is developed for the identification of binary grey level silhouette images of ships. These descriptors are theoretically invariant to translation, dilation and rotation and this is verified. A High-point descriptor comprising only two characteristics is shown to be sufficient to adequately characterize a ship silhouette. Euclidean distance is used to compare shapes and an identification threshold is defined, above which a high probability of identification occurs. The technique compare favourably with fourier descriptor techniques.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA188197

Entities

People

  • B. E. Furby

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aspect Angle
  • Identification
  • Probability
  • Rotation
  • Silhouettes
  • Translations

Fields of Study

  • Computer science

Readers

  • Geodesy
  • Image Processing and Computer Vision.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.