ARTUS Preliminary Development

Abstract

Work directed towards transitioning research conducted on the feasibility of an automatic rapid target updating system (ARTUS) to the implementation of system software is described, Implementation of one component of the ARTUS system, the ability to find features in terms of line intersections within infrared images, is performed. Methods of edge detection, target filtering, line finding, segmentation of the lines, and segment intersection is implemented into a GUI based software application. A new method of edge detection is implemented using a Canny edge detector combined with a second derivative gradient. An algorithm for filtering non-target data from target data in infrared images is created. Line finding is done using an algorithm taking the best lines from a histogram of all possible lines within an image. The lines are segmented using a technique searching for gaps in the lines, and then the intersections of these segments are found. This initial implementation of a portion of the ARTUS system is explained in this report.

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Document Details

Document Type
Technical Report
Publication Date
Jan 07, 2000
Accession Number
ADA372326

Entities

People

  • Barton S. Wells
  • Frederick L. Beckner

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • Change Detection
  • Computer Vision
  • Detection
  • Detectors
  • Filtration
  • Histograms
  • Images
  • Infrared Images
  • Mathematics
  • Two Dimensional

Fields of Study

  • Computer science
  • Physics

Readers

  • Computer Vision.