摘要
根据地面目标光学隐身图像的特点,提出了一种基于区间二型模糊集理论的光学隐身评价方法.针对以往隶属函数与图像并无物理意义上属性关系的问题,基于韦伯定律,建立图像固有灰度对比度与人眼表观亮度对比度的关系,构造符合人眼视觉特性的图像表观亮度对比度隶属函数,通过计算区间二型模糊隶属函数不确定性轨迹(Footprint of uncertainty,FOU)区域的交集大小判断隐身程度,交集越大,隐身程度越高.结果表明,本文构造出的区间二型模糊集方法与人眼主观评价结果的一致性较好,可作为一种新的隐身评价方法.
According to the characteristics of optical stealth images of ground targets,an evaluation method of optical stealth based on interval type-2 fuzzy set theory was proposed.In the past,there is no physical significance on the property relations between membership function and image,based on weber’s law,this paper establishes the relationship between the intrinsic gray contrast and the apparent brightness contrast of human eyes,the membership function of apparent brightness and contrast which conformed to human visual characteristics is constructed.The degree of stealth can be determined by calculating the intersection of the footprint of uncertainty(FOU)of type-2 fuzzy membership function,the greater the intersection is,the higher the degree of stealth will be.The results show that the proposed method is consistent with the subjective evaluation of human eyes and can be used as a new stealth evaluation method.
作者
王贺
WANG He(College of Physics and Electronics Engineering,Shanxi University,Taiyuan 030006,China)
出处
《测试技术学报》
2019年第6期503-508,共6页
Journal of Test and Measurement Technology
关键词
隐身图像
区间二型模糊集
隶属函数
不确定性轨迹
隐身评价
stealth image
interval type-2fuzzy set
membership function
footprint of uncertainty
stealth evaluation