Image Based Contrast-To-Clutter Modeling of Detection

Abstract

Using image-based metrics, contrast-to-clutter modeling is applied to the Search-2 visible image set and perception experiment data. To calculate the contrast metric, a new image is generated from the original image by replacing the target with an "expected background" using the local background surrounding the target and the natural horizontal correlation present in most surface-to-surface scenes. The contrast metric is obtained from the difference of this new image and the original image. Via a simple mathematical formula, the ratio of the contrast measure to a clutter metric is used to predict performance.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADP010538

Entities

People

  • David L. Wilson

Organizations

  • United States Army Communications-Electronics Command

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Analysis Of Variance
  • Contrast
  • Data Sets
  • Detection
  • Intensity
  • Least Squares Method
  • Perception
  • Power Spectra
  • Probability
  • Spectrum Signatures
  • Square Roots
  • Standards
  • Target Acquisition
  • Target Detection
  • Targets
  • Technical Information Centers

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Human-Computer Interaction (HCI).
  • Medical Imaging.