An impulse noise image filter using fuzzy sets

被引：3
|
作者：
Zhong-gui, Sun [1 ]
Jie, Chen [2 ]
Guang-wu, Meng [1 ]
机构：
[1] Liaocheng Univ, Coll Math Sci, Liaocheng 252059, Peoples R China
[2] Liaocheng Univ, Lib, Liaocheng 252059, Peoples R China
来源：
2008 INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING AND 2008 INTERNATIONAL PACIFIC WORKSHOP ON WEB MINING AND WEB-BASED APPLICATION | 2008年
关键词：
D O I：
10.1109/ISIP.2008.52
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The successful application of fuzzy set theory operators on several domains, along with the increasing need for processing digital images, have been the main motives behind the efforts concentrated on fuzzy sets. Fuzzy set theory, comparing with some other theories, can provide us with knowledge-based and robust tools for image processing. By computing the fuzziness of the pixels' corrupted degree and taking corresponding filter parameters, a new image filter for impulse noise is presented in this paper. Comparing with the median filter, which is excellent for impulse noise, this new filter is more effective. In the end, simulation results show that the new algorithm is feasible.
引用
收藏
页码：183 / +
页数：2
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