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A comprehensive effect evaluation method of pattern painting camouflage based on entropy weighted similarity
Author(s): Chuan-xun Hou; Hong-cai Li; Shi-xin Ma; Xiao-feng Zhao
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Paper 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.

Paper Details

Date Published: 10 May 2019
PDF: 7 pages
Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 110681L (10 May 2019); doi: 10.1117/12.2524556
Show Author Affiliations
Chuan-xun Hou, Xi'an Research Institute of High Technology (China)
Hong-cai Li, Xi’an Research Institute of High Technology (China)
Shi-xin Ma, Xi'an Research Institute of High Technology (China)
Xiao-feng Zhao, Xi’an Research Institute of High Technology (China)


Published in SPIE Proceedings Vol. 11068:
Second Symposium on Novel Technology of X-Ray Imaging
Yangchao Tian; Tiqiao Xiao; Peng Liu, Editor(s)

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