摘要
粗糙集理论是一种新的处理含糊和不确定性问题的数学工具。本文基于粗糙集和数学形态学算子之间的联系和粗糙集中模糊度的概念 ,将结构元素作为不可分辨关系 ,提出了一种新的基于粗糙集的模糊数学形态学方法。该方法无需任何经验知识 ,直接从图像数据中获得所需隶属函数。最后 ,将其用于图象的滤波 ,获得了很好的实验结果。
Rough set theory is a new mathematical tool to deal with problems on vagueness and uncertainty. Based on the links between mathematical morphology and rough sets and the fuzziness in rough sets, a structure element is regarded as an indiscernibility relation and a new method of fuzzy mathematical morphology based on rough sets is proposed. In this new method, the membership function of an image is directly obtained from original image without any prior knowledge. Finally, it is used for image filtering and good experimental results are obtained.
出处
《数据采集与处理》
CSCD
2002年第3期333-336,共4页
Journal of Data Acquisition and Processing
