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.
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Cho, W.J., Ahn, W., Kim, M.S., Park, J., Kim, S., Han, KH. (2011). Making Pixel Patterns Automatically for Camouflage – Using Color Information from Their Background. In: Stephanidis, C. (eds) HCI International 2011 – Posters’ Extended Abstracts. HCI 2011. Communications in Computer and Information Science, vol 174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22095-1_20
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DOI: https://doi.org/10.1007/978-3-642-22095-1_20
Publisher Name: Springer, Berlin, Heidelberg
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