| 一种基于模糊神经网络的Speckle图像滤波器 |
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| 作者姓名： | 刘忠仁 孙圣和 |
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| 作者单位： | 哈尔滨工业大学自动化测试与控制系 哈尔滨150001
(刘忠仁)，哈尔滨工业大学自动化测试与控制系 哈尔滨150001(孙圣和) |
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| 摘 要： | 提出一种新的基于模糊神经网络 (FNN)的 Speckle噪声自适应滤波器 ,以实时处理 SAR图像。讨论了模糊神经网络滤波器结构的设计、模糊规则的选取以及采用改进遗传算法进行参数优化的方法 ,最后 ,结合图像处理应用实例 ,与其它传统图像滤波器进行比较 ,验证所述滤波器在滤除噪声和保持细节纹理方面的有效性。
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| 关 键 词： | 图像滤波 模糊神经网络 模糊系统 SAR Speckle噪声 |
Speckle Noise Filter Based on Fuzzy Neural Network |
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| Authors: | Liu Zhongren Sun Shenghe |
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| Affiliation: | Liu Zhongren Sun Shenghe |
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| Abstract: | A new type of adaptive speckle noise filter based on a fuzzy neural network(FNN) is presented for SAR images which is corrupted by multiplicative noise.The FNN filter's structure and the principle of chousing of the number fuzzy rules are both discussed.An advanced genetic method is presented to optimize the filter's parameters.Comparing with other traditional image filter on real image filtering,this filter's ability of removing speckle noise and keep details and textures is proved. |
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| Keywords: | Image filtering Fuzzy neural network Fuzzy system |
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