| 基于局部统计信息的模糊选择滤波算法 |
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| 引用本文： | 孙亚楠,路疆.基于局部统计信息的模糊选择滤波算法[J].电视技术,2003(10):22-24. |
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| 作者姓名： | 孙亚楠 路疆 |
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| 作者单位： | 西安交通大学,人工智能与机器人研究所,陕西,西安,710049 |
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| 摘 要： | 提出了一种基于局部统计信息的模糊选择滤波算法，该算法的输出是sigma滤波器与多级中值滤波器滤波结果的加权复合，其权值则是通过对图像中局部统计信息的推理得到的。因此，该算法能够根据图像的具体情况自适应地进行滤波。试验表明，本算法能够有效滤除图像中不同种类的噪声，并具有很好的细节保护能力。
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| 关 键 词： | 局部统计信息 模糊推理 图像滤波 自适应 算法 sigma滤波器 多级中值滤波器 |
| 文章编号： | 1002-8692(2003)10-0022-03 |
| 修稿时间： | 2003年5月14日 |
Fuzzy selection filtering algorithm based on local statistic information |
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| SUN Ya-nan,LU Jiang.Fuzzy selection filtering algorithm based on local statistic information[J].Tv Engineering,2003(10):22-24. |
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| Authors: | SUN Ya-nan LU Jiang |
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| Abstract: | An adaptive fuzzy selection filter based on local statistics is introduced.The output of the adaptive filter is the weighted sum of sigma filter and multistage median filter.The weights are estimated by using fuzzy rules.Since the an-tecedents of the fuzzy rules can be composed of several local measurements,it is possible for the proposed filter to adjust its weights to adapt to local characteristics.Experimental results of the proposed algorithm show its effectiveness of filtering sig-nals which are corrupted by more than one type of noise,e.g.additive Gaussian noise plus impulses. |
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| Keywords: | local statistics fuzzy inference image filter adaptive |
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