Title :
A Filtering Algorithm Based on Rough Sets
Author :
Renli, Wang ; Bo, Chen ; Yang, Yang ; Maolin, Wang
Author_Institution :
Hehai Univ., Nanjing
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;
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
DOI :
10.1109/ICIEA.2007.4318507