An Image Filter for Eliminating Impulse Noise Based on Type-2 Fuzzy Sets
Large amount of information is random in image processing. To some extent, type-1 fuzzy sets can reduce the effect of uncertainties. Fuzzy sets theory can provide us with knowledge-based and robust tools for image processing. But there are many situations where it needs to be extended to type-2 fuzzy sets because it can also be difficult to determine the crisp membership function itself. By computing the fuzziness of the pixels corrupted degree, a new image filter based on type-2 fuzzy sets for impulse noise is presented in this paper. Comparing with some other filters, this new filter is more effective. In the end, simulation results show that the new algorithm is feasible.
Zhonggui Sun Guangwu Meng
College of Mathematics Science, Liaocheng University, Liaocheng 252059, China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
1278-1282
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）