Title :
Dynamic Morphology Operators Based on the S-Rough Set Theory
Author :
Fan, Min ; Zou, Ping ; Liu, Wen Qi ; Zhu, Xing Dong
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;
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
DOI :
10.1109/FSKD.2008.580
