A comprehensive effect evaluation method of pattern painting camouflage based on entropy weighted similarity

Chuan-xun Hou; Hong-cai Li; Shi-xin Ma; Xiao-feng Zhao

doi:10.1117/12.2524556

10 May 2019 A comprehensive effect evaluation method of pattern painting camouflage based on entropy weighted similarity

Chuan-xun Hou, Hong-cai Li, Shi-xin Ma, Xiao-feng Zhao

Author Affiliations +

Proceedings Volume 11068, Second Symposium on Novel Technology of X-Ray Imaging; 110681L (2019) https://doi.org/10.1117/12.2524556
Event: Second Symposium on Novel Technology of X-Ray Imaging, 2018, Hefei, China

Abstract

Aiming at the problems existing in the effect evaluation of pattern painting camouflage, such as evaluating indicate simplification and nonobjectivity, this paper proposes a new method for effect evaluation of pattern painting camouflage based on entropy weighted similarity. According to the object and purpose of pattern painting camouflage assessment, five characteristic evaluating indicators of target image and its background, namely, hue, brightness, shape, texture and speckle, are selected synthetically, and the weight of each evaluating indicator affecting the whole evaluation result is determined by using entropy weight method. The different patterns of painting camouflage with some specific backgrounds are selected for comprehensive evaluation, meanwhile, these camouflage painting patterns are evaluated by the classic grey clustering decision algorithm, and finally the evaluating results of two methods are compared. The results show that the conclusions obtained by the two different evaluation methods are consistent and support mutual verification, which indicates that the proposed method in this paper is feasible and effective for the effect evaluation of pattern painting camouflage.

Citation Download Citation

Chuan-xun Hou, Hong-cai Li, Shi-xin Ma, and Xiao-feng Zhao "A comprehensive effect evaluation method of pattern painting camouflage based on entropy weighted similarity", Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 110681L (10 May 2019); https://doi.org/10.1117/12.2524556

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KEYWORDS

Camouflage

Speckle

Image analysis

Detection and tracking algorithms

Image processing

RGB color model

Reconnaissance

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