A Comparative Study of Segmentation Algorithms for FLIR Images

Abstract

A comparative study of FLIR segmentation algorithms has been conducted in cooperation with Westinghouse Defense Systems Division. In the Maryland portion of the study, four techniques (two and three-class relaxation, pyramid linking, and superspike) were tested on a Westinghouse-supplied database of 51 images obtained from NVL and other sources. (Two other techniques, superslice and pyramid sport detection, were rejected after preliminary studies. ) The best technique, superspike, extracted regions corresponding to over 88% of the targets, and had a false alarm rate of 1.6 false regions per true target.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1981
Accession Number
ADA124809

Entities

People

  • Azriel Rosenfeld
  • Cheng-ye Wang
  • Leslie J. Kitchen
  • Ralph L. Hartley

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Science
  • Computer Vision
  • Contracts
  • Databases
  • Defense Systems
  • Detection
  • False Alarms
  • Image Processing
  • Information Processing
  • Maryland
  • Pattern Recognition
  • Pilot Studies
  • Universities
  • Warning Systems

Readers

  • Computer Vision.