| 一种改进型自适应加权模糊均值滤波算法 |
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| 引用本文： | 王志刚,王伟,许晓鸣. 一种改进型自适应加权模糊均值滤波算法[J]. 高技术通讯, 2003, 13(2): 19-24 |
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| 作者姓名： | 王志刚 王伟 许晓鸣 |
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| 作者单位： | 上海交通大学电子信息学院,上海,200030 |
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| 基金项目： | 上海市科委科技发展基金资助项目. |
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| 摘 要： | 针对原有的自适应加权模糊均值AWFM滤波器对局部噪声幅度估计不足的缺点。提出了一种新的改进型自适应加权模糊均值MAWFM滤波算法。该算法采用了一种新的模糊检测方法，可以同时检测各个像素点的正负向噪声幅度，从而能够建立一种新的自适应的模糊信号空间，以适应噪声在各个图像局部的变化。实验结果表明，MAWFM滤波器比以前的AWFM滤波器及传统的中值滤波器均有较优越的性能。
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| 关 键 词： | AWFM MAWFM 模糊检测子 模糊信号空间 图像处理 自适应加权模糊均值滤波算法 |
A Modified Adaptive Weighted Fuzzy Mean Filter Algorithm |
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| Wang Zhigang,Wang Wei,Xu Xiaoming. A Modified Adaptive Weighted Fuzzy Mean Filter Algorithm[J]. High Technology Letters, 2003, 13(2): 19-24 |
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| Authors: | Wang Zhigang Wang Wei Xu Xiaoming |
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| Abstract: | Aiming to overcome the defect of underestimating the local noise amplitude of the previous Adaptive Weighted Fuzzy Mean (AWFM) filter, a novel Modified Adaptive Weighted Fuzzy Mean (MAWFM) filter algorithm is proposed in this paper. It adopts a new fuzzy detection method which simultaneously evaluates positive amplitude and negative amplitude of noise on each pixel, and can construct a new adaptive fuzzy signal space to adapt to the local change of noise. The experiment results also demonstrate the superior performance of MAWFM filter compared with previous AWFM filter and conventional median filter. |
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| Keywords: | AWFM MAWFM Fuzzy detector Fuzzy signal space |
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