Stochastic Resonance Investigation of Object Detection in Images

Abstract

Object detection in images was conducted using a nonlinear means of improving signal to noise ratio termed "stochastic resonance" (SR). In a recent United States Patent application, it was shown that arbitrarily large signal to noise ratio gains could be realized when a signal detection problem is cast within the context of a SR filter. Signal-to-noise ratio measures were investigated. For a binary object recognition task (friendly versus hostile), the method was implemented by perturbing the recognition algorithm and subsequently thresholding via a computer simulation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2006
Accession Number
ADA472478

Entities

People

  • Alan R. Pinkus
  • Christina D. Schrider
  • Daniel W. Repperger
  • Julie A. Skipper

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computer Simulations
  • Computer Vision
  • Detection
  • Engineering
  • Identification
  • Image Recognition
  • Industrial Engineering
  • Information Operations
  • Mathematics
  • Military Research
  • Object Recognition
  • Patent Applications
  • Recognition
  • Resonance
  • Signal Detection

Readers

  • Database Systems and Applications
  • Image Processing and Computer Vision.
  • Mathematical Modeling and Probability Theory.