DocumentCode
3442988
Title
A Filtering Algorithm Based on Rough Sets
Author
Renli, Wang ; Bo, Chen ; Yang, Yang ; Maolin, Wang
Author_Institution
Hehai Univ., Nanjing
fYear
2007
fDate
23-25 May 2007
Firstpage
750
Lastpage
752
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 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.
Keywords
filtering theory; image processing; median filters; rough set theory; filtering algorithm; fuzzy method; genetic algorithm; gray image; image median filter; intellective information processing method; neural networks; rough sets theory; soft computation method; Filtering algorithms; Rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318507
Filename
4318507
Link To Document