DocumentCode
3292009
Title
Dynamic Morphology Operators Based on the S-Rough Set Theory
Author
Fan, Min ; Zou, Ping ; Liu, Wen Qi ; Zhu, Xing Dong
Volume
5
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
251
Lastpage
255
Abstract
This paper mainly discusses the morphology operators with rough set theory in image processing. Firstly, it shows the relationship between the morphology operators and Pawlak rough set. Secondly, it discusses the general approximation operators; Thirdly, it advances approximation operators in S-rough set and its corresponding morphological operators; Finally, it uses VC++ programming to practice the arithmetic and get better results.
Keywords
approximation theory; data analysis; rough set theory; Pawlak rough set; S-rough set theory; VC++ programming; dynamic morphology operators; general approximation operators; image processing; Conference management; Filtering; Fuzzy systems; Image processing; Knowledge management; Morphology; Plasma welding; Set theory; Technology management; Uncertainty; S-Rough Set; VC++ programming; image processing; morphology operators;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Jinan Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.580
Filename
4666532
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