A New Filter Algorithm of Image Based on Fuzzy Logical

Hongqiao Zhang, Xin Ma, Ning Wu
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引用次数: 12

Abstract

Image denoising by using the filter algorithm is a basic problem which we would meet during the image processing. The mean filter is normally used to reduce Gaussian noise, but it is not effective to the impulse noise. While the median filter is good for reducing the impulse noise but is not well-worked for Gaussian noise. Based on the idea of fuzzy logical, this essay proposes a new kind of filter, the fuzzy filter, which could deal with the two types of noise above to some extent. Finally, according to the experiment data, we have evaluated the performance of the fuzzy filter comparing with the traditional filters and the result is acceptable.
一种新的基于模糊逻辑的图像滤波算法
利用滤波算法对图像进行去噪是图像处理过程中遇到的一个基本问题。均值滤波器通常用于抑制高斯噪声,但对脉冲噪声的抑制效果较差。中值滤波器对脉冲噪声的抑制效果较好,但对高斯噪声的抑制效果较差。基于模糊逻辑的思想,本文提出了一种新的滤波器——模糊滤波器,它能在一定程度上处理上述两种噪声。最后,根据实验数据对模糊滤波器的性能与传统滤波器进行了比较,结果是可以接受的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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