Fuzzy Logic Based Image Fusion

Abstract

The fusion of visual and infrared sensor images of potential driving hazards in static infrared and visual scenes is computed using the Fuzzy Logic Approach (FLA). The FLA is presented as a new method for combining images from different sensors for achieving an image that displays more information than either image separately. Both Mamdani and ANFIS methods are used. The fused sensor images are compared to metrics to measure the increased perception of a driving hazard in the sensor-fused image. The metrics are correlated to experimental ranking of the image quality. The image rankings are obtained by presenting imagery in the TARDEC Visual Perception Lab (VPL) to subjects. Probability of detection of a driving hazard is computed using data obtained in observer tests.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 12, 2002
Accession Number
ADA405123

Entities

People

  • Darryl Bryk
  • David Bednarz
  • E. J. Sohn
  • Kimberly Lane
  • Thomas J. Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Contrast
  • Detection
  • Detectors
  • Fuzzy Logic
  • Fuzzy Sets
  • Infrared Detectors
  • Logic
  • Observers
  • Operations Security
  • Perception
  • Probability
  • Security
  • Sensor Fusion
  • Target Recognition
  • Visual Perception

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Human-Computer Interaction (HCI).
  • Sensor Fusion and Tracking Systems.