Automated Extraction of Data Display Configuration From Telemetry Applications

Abstract

This paper presents a methodology for a knowledge-based approach to effectively extract configuration data from raster images and source code of display systems. Our approach uses three different means of recognizing display objects from data display images and source code: extracting information from multiple raster images; vectorizing the images and using a rule- based object identification; and parsing the source code to extract graphics, dynamics, and data variables of the display system. No single technique would be able to completely extract display information. For example, it is impossible to completely extract display dynamics even if numerous raster images were provided. To solve this, we apply data fusion techniques in order to decrease the uncertainty inherent in each of the above-mentioned techniques.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2004
Accession Number
ADA426294

Entities

People

  • Charles H. Jones

Organizations

  • Air Force Test Center

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Vision
  • Data Displays
  • Data Fusion
  • Display Systems
  • Dynamics
  • Extraction
  • Graphics
  • Identification
  • Image Processing
  • Image Recognition
  • Machine Learning
  • Neural Networks
  • Object Recognition
  • Recognition

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.
  • Parallel and Distributed Computing.