基于区间类型2模糊系统的高斯噪声新滤波器
A New Gaussian Noise Filter Based on Interval Type-2 Fuzzy Logic System
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摘要: 基于区间类型 2模糊系统 (intervaltype 2FLS) ,通过分别引入输入与输出空间的合理划分 ,建立了一类新的反馈选择型模糊神经网络结构 ,在此基础上提出了FLS滤波器 实验结果表明 ,与其他滤波器 (如均值滤波器、Wiener滤波器等 )相比 ,FLS滤波器在滤除高斯噪声、保持图像原有结构方面效果更好Abstract: A new selective feedback fuzzy neural network based on interval type 2 fuzzy logic system is presented by introducing the partitions of input and output space, and then a new FLS filter is further studied based on this new neural network The experimental results demonstrate that this new FLS filter outperforms other filters (the mean filter, the Wiener filter, etc) in suppressing Gaussian noise and retains the original structures of images
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