Apparent reflectance modeling for camouflage pattern comparison metrics

References

• Ramsey S, Mayo T, Shabaev A, et al. Modeling apparent color for visual evaluation of camouflage fabrics, Proceedings of SPIE Volume 10395, Optics and Photonics for Information Processing XI, 103950I (2017). Doi: https://doi.org/10.1117/12.2272736.
   Google Scholar
• Ramsey S, Mayo T, Howells C, et al. Modeling apparent camouflage pattern color using segment-weighted spectra. Journal of Electromagnetic Waves and Applications. 2019;33(5):541–556. doi:https://doi.org/10.1080/09205071.2018.1561331.
   Web of Science ®Google Scholar
• Ramsey S, Mayo T, Howells C, et al. Modeling and simulation of apparent color and apparent patterning of camouflage fabrics, Naval Research Laboratory Memorandum Report, Naval Research Laboratory, Washington, DC, NRL/MR/6390–18-9777 (July 18, 2018).
   Google Scholar
• Merilaita S, Scott-Samuel NE, Cuthill IC. How camouflage works. Phil. Trans. R. Soc. B. 2017 May;372:20160341.
   PubMed Web of Science ®Google Scholar
• Xue F, Yong C, Xu S, et al. Camouflage performance analysis and evaluation framework based on features fusion. Multimed Tools Appl. 2016;75:4065–4082.
   Web of Science ®Google Scholar
• Lin CJ, Chang C-C, Liu B-S. Developing and evaluating a target-background similarity metric for camouflage detection. PLoS ONE. 2014;9(2):e87310.
   PubMed Web of Science ®Google Scholar
• Troscianko J, Skelhorn J, Stevens M. Quantifying camouflage: how to predict detectability from appearance. BMC Evol Biol. 2017;17(7).
   PubMedGoogle Scholar
• Bai X, Liao N, Wu W. Assessment of camouflage effectiveness based on perceived color difference and gradient magnitude. Sensors. 2020;20:4672.
   Web of Science ®Google Scholar
• Xiao H, Qu Z, Lv M, et al. Fast self-adaptive digital camouflage design method based on deep learning. Appl. Sci. 2020;10:5284.
   Google Scholar
• Vollmerhausen RH, Jacobs EL, Driggers RG. New metric for predicting target acquisition performance. Opt. Eng. 2004;43(11).
   Web of Science ®Google Scholar
• Patil A, Rathode GP. A review paper on camouflage texture evaluation. Int J Electron Commun Comp Eng. 2013;4(3):995–997.
   Google Scholar
• Dehui Z, Pengye W, Hengbo Z, et al. Camouflage effectiveness assessment based on fusion with constant color background. IOP Conf. Series. J Phys Conf Series 1060. 2018;012009.
   Google Scholar
• Yuan X, Lv X, Li L, et al. Image feature extraction based on the camouflage Effectiveness evaluation. API Conf Proc 1955. 2018;040183.
   Google Scholar
• Akerlind C, Fagerstrom J, Hallberg T, et al. Evaluation criteria for spectral design of camouflage. 2015 Proceedings of SPIE, Vol. 9653, Target and Background Signatures, SPIE (2015).
   Google Scholar
• Xue F, Yong C, Xu S, et al. Camouflage performance analysis and evaluation framework based on features fusion. Multimed Tools Appl. 2016;75:4065–4082.
   Web of Science ®Google Scholar
• Abele I, Sitvjenkins I, Ziemele I, et al. Evaluation of camouflage. Adv Mater Res. 2015;1117:317–320.
   Google Scholar
• Hou D, Zhang W, Yu N. Image camouflage by reversible image transformation. J Vis Commun Image R. 2016;40:225–236.
   Web of Science ®Google Scholar
• Zhang Y, Xue S, Jiang X, et al. The spatial color mixing model of digital camouflage pattern. Def Technol. 2013;9:157–161.
   Google Scholar
• Rubeziene V, Padleckiene I, Baltusnikaite J, et al. Evaluation of camouflage effectiveness of printed fabrics in visible and near infrared radiation spectral ranges. Mater Sci. 2008;14(4):361–365.
   Web of Science ®Google Scholar
• Xue F, Wu F, Wang J, et al. Camouflage texture design based on its camouflage performance. Nuerocomputing. 2018;274:106–114.
   Web of Science ®Google Scholar
• Lin CJ, Chang CC, Liu BS. Developing and evaluating a target-background similarity metric for camouflage detection. PLoS One. 2014;9(2):e87310.
   PubMed Web of Science ®Google Scholar
• Petrou M, Petrou C. Image processing: the fundamentals. 2nd ed. Chichester, WS: John Wiley and Sons, Ltd; 2010.
   Google Scholar
• Rasband WS. ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, https://imagej.nih.gov/ij/, 1997-2018.
   Google Scholar
• Huang L-K, Wang M-J. Image thresholding by minimizing the measure of fuzziness. Pattern Recognit. 1995;28(1):41–51.
   Web of Science ®Google Scholar
• Michaelchuck Jr. E, Ramsey S, Mayo T, et al. Camouflage pattern segmentation for calculation of apparent reflectance spectra. Proceedings of SPIE Optics + Photonics 2021, San Diego, California, August 1-5, 2021 (to Appear).
   Google Scholar
• Harper J. Army selects new camouflage uniform pattern. Stars and Stripes, May 27, 2014.
   Google Scholar
• Wendlandt WW, Hecht HG. Reflectance spectroscopy. New York: John Wiley & Sons; 1966.
   Google Scholar
• Kortum G. Reflectance spectroscopy. Berlin: Springer-Verlag; 1969.
   Google Scholar
• Hecht HG. The interpretation of diffuse reflectance spectra. Journal of Research of the National Bureau of Standards-A. Physics and Chemistry. 1976;80A(4):567–583.
   PubMedGoogle Scholar
• Wyszecki G, Stiles WS. Color science: concepts and methods, quantitative data and formulae. 2nd ed. New York: John Wiley & Sons; 1982.
   Google Scholar
• Hapke B. Introduction to the theory of reflectance and emittance spectroscopy. New York: Cambridge Univ. Press; 1993.
   Google Scholar
• Torrent J, Barron V. Diffuse reflectance spectroscopy, Chapter 13, Methods of Soil Analysis, Part 5, Minerallogical Methods, SSSA Book Series, no. 5, Soil Science Society of America, Madison, WI, 2008, pp. 367-385.
   Google Scholar
• Bohren CF, Huffman DR. Absorption and scattering of light by small particles. Weinheim, Germany: Wiley-VCH; 2004.
   Google Scholar
• Bodis L. Quantification of spectral similarity towards automatic spectra verification. dissertation, ETH, 2007.
   Google Scholar
• Franks LE. Signal theory. city: Prentice Hall; 1969.
   Google Scholar