Improvements to the Gray-Level Co-occurrence Matrix (GLCM) Based Trackability Metric

Abstract

The Gray-Level Co-occurrence Matrix (GLCM) based Trackability Metric has been used at AMCOM for many years for autotracker performance evaluation. The origins of the metric stem from the frustrating experience of trying to use such measures as delta T and signal to noise ratios to specify autotracker performance requirements. This paper presents the most recent developments and improvements to the GLCM based Trackability Metric (TM) and the resulting performance enhancements. One of the new developments is the inclusion of a hot spot or most predominant feature metric. Additionally, the results of a sensitivity study for the accuracy of target segmentation verses the GLCM TM performance is presented. These new developments for the Trackability Metric should provide better state-of-the-art performance prediction and more accurate performance modeling for specific imaging autotracker designs. The results of these studies and the final implementation of the Trackability Metric are presented.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADP023093

Entities

People

  • Mark A. Strauser
  • Ricky K. Hammon

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Army Aviation
  • Captive Flight
  • Composite Materials
  • Computer Science
  • Computer Vision
  • Directional
  • Engineering
  • Equations
  • Errors
  • Hot Spots
  • Inclusions
  • Measurement
  • Orientation (Direction)
  • Sequences
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • International Journalism and Media Studies.
  • Missile Defense Systems.
  • Systems Analysis and Design