Modeling and Simulation of Apparent Color and Apparent Patterning of Camouflage Fabrics

Abstract

Advanced camouflage patterns for military applications consist of highly detailed camouflage patterning and multiple tonal (blended) colors. The complexity of these camouflage patterns establishes a need for additional test methodologies for color and pattern evaluation. One metric for evaluation is apparent color, which is the combination of all visible wavelengths (380-700 nm) of light reflected from large (1m2) fabric sample sizes for a given standoff distance (25-100 ft). This follows in that camouflage patterns lose resolution with increasing standoff distance, and eventually all colors within the pattern appear monotone (the apparent color of the camouflage pattern). The concept of apparent color is based on far-field and statistical characteristics of camouflage patterns. In contrast, the concept of apparent camouflage patterning is associated with intermediate distances between observer and target. Accordingly, quantitative metrics for camouflage-pattern viability based on apparent patterns should be different than those for apparent color, thus providing additional criteria for evaluation This paper describes general algorithms for modeling apparent color and patterning of camouflage patterns that are relevant to evaluating camouflage fabrics.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 18, 2018
Accession Number
AD1056497

Entities

People

  • Andrew Shabaev
  • Christopher A. Howells
  • Samuel G. Lambrakos
  • Scott A. Ramsey
  • Troy B. Mayo

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Computer Vision
  • Detection
  • Detectors
  • Digital Images
  • Environment
  • Far Field
  • Field Conditions
  • Filtration
  • Image Processing
  • Light Sources
  • Materials
  • Materials Science
  • Measurement
  • Military Applications
  • Military Research
  • Radiation
  • Visual Inspection

Readers

  • Systems Analysis and Design
  • Vision Science/Vision Psychology/Cognitive Neuroscience.