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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Application of the Rough Set to Image Median Denoising
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Chen Bo, Geng Zexun, Yang Yang, Liu Xiaosong, "Application of the Rough Set to Image Median Denoising," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 1, pp. 75-78, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.201,
author = {Chen Bo and Geng Zexun and Yang Yang and Liu Xiaosong},
title = {Application of the Rough Set to Image Median Denoising},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {1},
year = {2007},
isbn = {0-7695-2909-7},
pages = {75-78},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.201},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Application of the Rough Set to Image Median Denoising
SN - 0-7695-2909-7
SP75
EP78
A1 - Chen Bo,
A1 - Geng Zexun,
A1 - Yang Yang,
A1 - Liu Xiaosong,
PY - 2007
KW - null
VL - 1
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Chen Bo, Information Engineering University of PLA, China
Geng Zexun, Information Engineering University of PLA, China
Yang Yang, Guilin Air Force Academy, China
Liu Xiaosong, Guilin Air Force Academy, China
Image denoising that is a kind of basal pretreatment can improve visual effect of original images. Rough set 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 set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.
Citation:
Chen Bo, Geng Zexun, Yang Yang, Liu Xiaosong, "Application of the Rough Set to Image Median Denoising," snpd, vol. 1, pp.75-78, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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