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IR and color image fusion using interval type 2 fuzzy logic system

机译:使用区间2型模糊逻辑系统进行红外和彩色图像融合

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This paper provides research and development carried out to apply fuzzy logic system (type 1 and type 2) of image fusion. It covers fuzzy logic operator/operations in context of image fusion. Color and infrared images obtained from Enhanced Vision System prototype are utilized for the study. The fused image is evaluated for various design cases for fuzzy logic system type 1 and Interval type 2 fuzzy logic systems. Based on qualitative and analytical analysis, it is concluded that Interval type 2 fuzzy logic system performs better than fuzzy logic system type 1 and in general Sugeno based fuzzy logic systems are better than Mamdani based fuzzy logic systems.
机译:本文提供了应用模糊逻辑系统(类型1和类型2)进行图像融合的研究和开发。它涵盖了图像融合上下文中的模糊逻辑运算符/运算。从增强视觉系统原型获得的彩色和红外图像用于该研究。针对1型模糊逻辑系统和2型区间模糊逻辑系统的各种设计案例评估融合图像。通过定性和分析分析,得出结论,区间2型模糊逻辑系统的性能优于1型模糊逻辑系统,并且一般而言,基于Sugeno的模糊逻辑系统优于基于Mamdani的模糊逻辑系统。

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