Title :
Application of Rough Sets in Image Median Filter
Author :
Jiang, Li-Hui ; Zhang, Fan ; Jin, Zhen-Ni ; Liu, Rui-Hua
Author_Institution :
Civil Aviation Univ. of China, Tianjin
Abstract :
An improved median filter algorithm based on Rough Sets is presented in the paper. The algorithm first divides the image into several parts and uses Rough Sets theory to classify the pixel in each part then noise pixels can be separated and be removed by median filtering. Compared with standard median filter, the results of computer simulation experiments show that this new filter has better filtering performance and can preserve detail information of image better.
Keywords :
image classification; image denoising; median filters; rough set theory; image classification; image denoising; image median filter; rough set; Filtering theory; Image processing; Information filtering; Information filters; Knowledge based systems; Machine learning; Nonlinear filters; Pixel; Rough sets; Signal processing algorithms; Image processing; Median filtering; Rough Sets;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370794
