Method for designing camouflage patterns blend to the natural backgrounds
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https://doi.org/10.54939/1859-1043.j.mst.92.2023.121-129Keywords:
Camouflage pattern; Camouflage design; Target and background; CSI; TOPSIS.Abstract
Camouflage pattern design, an essential part of camouflage design, is a topic of interest to researchers worldwide. However, in Vietnam, it is still relatively primitive and rarely studied and published. This paper presents a method of calculating and designing camouflage patterns that blend with natural backgrounds. Based on the principles of human eye vision and the relationship between human eye vision and visible camouflage, the paper has calculated and quantified some key parameters, such as the size of the basic unit, unit colors, and the dominant colors, and use the software to design the appropriate camouflage patterns. Evaluation results based on computer simulations and field tests prove that the method of calculating camouflage pattern design in the visible range proposed by the authors is suitable and can be applied to camouflage design.
References
[1]. J. R. Rao, “Introduction to camouflage and deception,” Defence research & development organisation, Ministry of Defence, New Delhi, (1999).
[2]. A. O. Ramsley, “Camouflage patterns – effects of size and color,” NXB PN, tr. 5-21, (1979). DOI: https://doi.org/10.21236/ADC020935
[3]. T. R. O'Neill, “Dual-tex 2: Field evaluation of dual-tex gradient pattern,” USMA, West Point, N.Y. City, pp. 1-13, (1977).
[4]. M. Friskovec et al, “Design and evaluation of a camouflage pattern for the Slovenian urban environment,” J. of Imaging Science and Technology, Vol. 020507, pp. 1-11, (2010).
[5]. M. Kalloniatis, C. Luu, “Visual acuity,” In: Kolb H, Fernandez E, Nelson R, editors. Webvision: The Organization of the Retina and Visual System, (2005).
[6]. Q. Jia et al, “Intelligent design of gradual disruptive pattern painting and comparison of camouflage effectiveness,” Cluster Computing, vol. 22, no. 4, pp. 9293–9301, (2019). DOI: https://doi.org/10.1007/s10586-018-2129-8
[7]. M. Friskovec et al, “Design and Evaluation of a Camouflage Pattern for the Slovenian Urban Environment,” Journal of Imaging Science and Technology® 54(2): 020507–020507-11, (2010). DOI: https://doi.org/10.2352/J.ImagingSci.Technol.2010.54.2.020507
[8]. V. K. Shrivastava et al, “Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: a first comparative study of its kind, ” CMPB, 26, pp. 98-109, (2016). DOI: https://doi.org/10.1016/j.cmpb.2015.11.013
[9]. N.C. Yang et al, “A fast MPEG-7 dominant color extraction with new similarity measure for image retrieval,” J Vis Commun Image Represent, 19, pp. 92-105, (2008). DOI: https://doi.org/10.1016/j.jvcir.2007.05.003
[10]. Y. J. Yan et al, “Fusion of dominant colour and spatial layout features for effective image retrieval of coloured logos and trademarks,” IEEE international conference on multimedia big data, (2015), pp. 306-311, 10.1109/BigMM.2015.43.
[11]. S. Bi et al, “Optical classification of inland waters based on an improved Fuzzy C-Means method,” Optic Express, 27 (24/25), pp. 34838, (2019). DOI: https://doi.org/10.1364/OE.27.034838
[12]. T. T. Bao et al, “Một phương pháp đánh giá hiệu quả ngụy trang bằng mô phỏng máy tính,” Tạp chí Nghiên cứu khoa học và công nghệ quân sự, Số 90, (2023). DOI: https://doi.org/10.54939/1859-1043.j.mst.90.2023.119-126
[13]. Đ. X. Doanh et al, “Phương pháp đánh giá đa tiêu chí ứng dụng trong lĩnh vực ngụy trang,” Tạp chí Nghiên cứu khoa học và công nghệ quân sự, Số Đặc san Hội thảo Quốc gia FEE, tr. 154-163, (2022). DOI: https://doi.org/10.54939/1859-1043.j.mst.FEE.2022.154-163
