Advances in calibrated digital imaging are enabling the capture of objective visual information, but it remains unclear which methods are best for measuring detectability. Quantifying detectability can reveal how colour patterns affect survival, how animals’ appearances influence habitat preferences, and how receiver visual systems work. StackOverFlow (2017).Quantifying the conspicuousness of objects against particular backgrounds is key to understanding the evolution and adaptive value of animal coloration, and in designing effective camouflage. Tonechas: How to find the average color of an image in Python with OpenCV. Wang, X.Y., Bai, Y.P.: The global Minmax k-means algorithm. Sinaga, K.P., Yang, M.S.: Unsupervised K-Means Clustering Algorithm. In: International Conference on Industrial Control and Electronics Engineering (ICICEE), pp. 118–122 (2018)īai, W.M., Qu, M.Q.: Research on digital camouflage characteristics of color vision. In: Proceedings of 2018 the 2nd International Conference on Video and Image Processing (ICVIP 2018), pp. Tu, T., Zhou, Z.F., Xiao, P.: Clustering color segmentation in multi-color space. In: Computer Image Analysis in the Study of Art, vol. Martinez, K., Goodall, S.: Colour cluster analysis for pigment identification. O'Mahony, N., Campbell, S., Carvalho, A., et al.: Deep learning vs. Infrared imaging systems: design, analysis, modeling, and testing XIX, 6941Ĭhen, Y.F., Shen, C., Wang, C., et al.: Scaling camouflage: content disguising attack against computer vision applications. Muller, T., Muller, M (2008) CACAMO - Computer Aided Camouflage Assessment of Moving Objects. 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SMTA), p 676–679 Li P (2015) Design Research on Digital Camouflage Unit Shape. Van der Burg, E., Hogervorst, M.A., Toet, A.: Adaptive camouflage of moving targets. 11158 (2019)įilipek, S., Droppa, P., Cornak, S.: Research in thermal camouflaging. Gustafsson, O., Glendor, P.: Infrared signature simulations of a mobile camouflage for a heavy military vehicle. 70–73 (2015)Ĭhandra, S., Franklin, D., Cozart, J., et al.: Adaptive multispectral infrared camouflage. In: 3RD International Conference on Computer Science and Information Engineering (CSIE 2015), pp. Huang, J.: Research on an inflatable camouflage dome for military transport vehicles. Qiao, Y., Meng, Z.H., Wang, P.P., Yan, D.: Research progress of bionic adaptive camouflage materials. Hong, S., Shin, S., Chen, R.: An adaptive and wearable thermal camouflage device. Talas, L., Baddeley, R.J., Cuthill, I.C.: Cultural evolution of military camouflage. Toet, A., Hogervorst, M.A.: Review of camouflage assessment techniques. Eksploatacja i niezawodnosc-maintenance Reliabil. SPR 24(2), 115–155 (2021)īorucka, A., Niewczas, A., Hasilova, K.: Forecasting the readiness of special vehicles using the semi-markov model. Woods, J.B.: Police escalation and the motor vehicle. The received value is passed to the RGB LED color panel controller to activate the corresponding color. The proposed system uses computer vision and image clustering methods to recognize the background color and determine the dominant color on it. The purpose of this study is to develop a system that is inexpensive and simple in design, which does not lose in terms of application efficiency to its analogues. The current adaptive camouflage systems are quite complex and expensive. An active camouflage system could constantly update color and pattern, hiding vehicles in their current environment. Vehicles equipped with green camouflage will stand out clearly against a white wall. The use of technology in city determines the need for continuous changes in camouflage elements to adapt to external conditions. Vehicles are currently equipped with conventional camouflage, designed for camouflage using two main elements: color and pattern. One of the ways to reduce the visibility of the vehicle is camouflage. These can be buses, trucks for transporting people or off-road vehicles on wheels or tracks, equipped with armor or various equipment. Special cars and vehicles can be used by police and military services.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |