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Making Pixel Patterns Automatically for Camouflage – Using Color Information from Their Background

  • Woon Jung Cho
  • Wonmi Ahn
  • Myung Shik Kim
  • Jeeyea Park
  • Seungduk Kim
  • Kwang-Hee Han
Part of the Communications in Computer and Information Science book series (CCIS, volume 174)

Abstract

Camouflage is an attempt to obscure a target’s outline and match its background for hiding the target. Detectability of a target depends on the features of the background and changes in the surrounding. Thus, we have to consider visual information from the background and apply them to the development of an effective camouflage pattern. As dynamic environments are essential for designing an adaptive pattern, controlling digital images and making patterns automatically by use of computer can be efficient alternatives through the designing process of development and evaluation. In this study, we made the automatic pixel patterns program for the camouflage assessment. For making patterns, color information derived from background was used and pixel-dot type of pattern was considered in view of the digital pattern. Automatic stimuli-pattern maker developed in this study follows several steps; load an image, select an area, extract colors, and create a pattern. This automatic implementation has some benefits for design processes for camouflage pattern development. Further studies are needed not only for program-upgrade but also for improvement of color strategy through analyzing camouflage features.

Keywords

camouflage pattern camouflage assessment photosimulation adaptive pattern 

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References

  1. 1.
    Copeland, A., Trivedi, M.: Models and metrics for signature strength evaluation of camouflaged targets. Algorithms for synthetic aperture radar imagery IV, 194–199 (1997)Google Scholar
  2. 2.
    Friskovec, M., Gabrijelcic, H., Simoncic, B.: Design and Evaluation of a Camouflage pattern for the Slovenian Urban Environment. Journal of Imaging Science and Technology 54(2), 020507-(11) (2010)Google Scholar
  3. 3.
    Mitchell, K., Staples, C.: Methods for deriving optimum colours for camouflage patterns. In: RTO SCI Workshop on Search and Target Acquisition in Netherlands (1999)Google Scholar
  4. 4.
    Peak, J.: Guidelines for Camouflage Assessment Using Observers. Nato Research & Technology Organization Neuilly-Sur-Seine RTO-AG-SCI-095 (2006)Google Scholar
  5. 5.
    Ramsley, A.: Camouflage patterns-effects of size and color, technical report released on DTIC online (1976)Google Scholar
  6. 6.
    Riley, T.: Testing visual Camouflage, innovations report, National centre for computer animation in Bournemouthh University (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Woon Jung Cho
    • 1
  • Wonmi Ahn
    • 1
  • Myung Shik Kim
    • 1
  • Jeeyea Park
    • 1
  • Seungduk Kim
    • 2
  • Kwang-Hee Han
    • 1
  1. 1.Cognitive Engineering Lab. Department of PsychologyYonsei UniversityJapan
  2. 2.Department of Computer ScienceYonsei UniversityJapan

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