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一种基于Rough集的图像滤波算法
引用本文:陈波,王仁礼,杨阳,刘波.一种基于Rough集的图像滤波算法[J].测绘学院学报,2005,22(1):30-32.
作者姓名:陈波  王仁礼  杨阳  刘波
作者单位:[1]信息工程大学测绘学院,河南郑州450052 [2]信息工程大学测绘学院,河南郑州450052//桂林空军学院,广西桂林541003 [3]78155部队,四川成都610036
摘    要:Rough集理论是一种新的处理含糊和不确定性问题的数学工具。它作为一种软计算方法,与模糊方法、遗传算法、神经网络等一样,是有发展潜力的智能信息处理方法。文中将Rough集理论应用到图像滤波中,提出了一种基于Rough集理论的图像中值滤波算法;给出了该算法与标准中值滤波算法的比较实验。结果表明,该算法去噪能力强于标准中值滤波算法,且能较好地保持图像的边缘细节信息。

关 键 词:Rough集理论  图像处理  图像增强  中值滤波

An Image Filtering Algorithm Based on Rough Sets
CHEN Bo,WANG Ren-Li,YANG Yang.An Image Filtering Algorithm Based on Rough Sets[J].Journal of Institute of Surveying and Mapping,2005,22(1):30-32.
Authors:CHEN Bo  WANG Ren-Li  YANG Yang
Institution:CHEN Bo~1,WANG Ren-Li~1,YANG Yang~
Abstract:Rough sets theory is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough sets theory is applied to gray image, and algorithm of image median filter based on rough sets theory is proposed in this paper. Compared experiments are done using standard median filtering and the filtering algorithm presented in this paper. Experimental results show that this algorithm filtering outperforms the standard median filtering.
Keywords:Rough sets theory  image processing  image enhancement  median filtering
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