A Filtering Algorithm Based on Rough Sets

摘要：

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 applies to gray image, and algorithm of image median filter based on rough sets theory is proposed in this paper. Comparing 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.

作者: WANG Renli CHEN Bo YANG Yang WANG Maolin

作者单位: Hehai University, China Guilin Air Force Academy, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）