Paper
3 May 2006 Use of a vision model to quantify the significance of factors effecting target conspicuity
M. A. Gilmore, C. K. Jones, A. W. Haynes, D. J. Tolhurst, M. To, T. Troscianko, P. G. Lovell, C. A. Parraga, K. Pickavance
Author Affiliations +
Abstract
When designing camouflage it is important to understand how the human visual system processes the information to discriminate the target from the background scene. A vision model has been developed to compare two images and detect differences in local contrast in each spatial frequency channel. Observer experiments are being undertaken to validate this vision model so that the model can be used to quantify the relative significance of different factors affecting target conspicuity. Synthetic imagery can be used to design improved camouflage systems. The vision model is being used to compare different synthetic images to understand what features in the image are important to reproduce accurately and to identify the optimum way to render synthetic imagery for camouflage effectiveness assessment. This paper will describe the vision model and summarise the results obtained from the initial validation tests. The paper will also show how the model is being used to compare different synthetic images and discuss future work plans.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. A. Gilmore, C. K. Jones, A. W. Haynes, D. J. Tolhurst, M. To, T. Troscianko, P. G. Lovell, C. A. Parraga, and K. Pickavance "Use of a vision model to quantify the significance of factors effecting target conspicuity", Proc. SPIE 6239, Targets and Backgrounds XII: Characterization and Representation, 62390R (3 May 2006); https://doi.org/10.1117/12.673796
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Cited by 1 scholarly publication.
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KEYWORDS
Visual process modeling

Systems modeling

Camouflage

Data modeling

Spatial frequencies

Image processing

RGB color model

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