Application of Rough Sets in Binary Morphology

Author

Yang, Guo-qing ; Jiang, Li-Hui ; Li, Yong

Author_Institution

Gen. Adm. of Civil Aviation of China, Peking

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

3446

Lastpage

3449

Abstract

Based on rough sets and mathematical morphology theory, this paper proposes a method called membership-grade operator for binary image processing. Based on the same structural element, the operator achieves multiform dilations, erosions and edge extractions by proper choice of membership grade obtained by binary image. Applied to noise image, the operator can achieve the above processing and noise reduction, and good effect is obtained by image simulation. Finally, this paper analyzes the characteristics of the membership-grade operator by comparing it with the morphology operator

Keywords

edge detection; feature extraction; image denoising; mathematical morphology; mathematical operators; rough set theory; binary image processing; binary morphology operator; edge extraction; image noise reduction; mathematical morphology theory; membership-grade operator; multiform dilation; multiform erosion; rough set theory; Cybernetics; Fuzzy set theory; Image analysis; Image processing; Machine learning; Morphology; Noise reduction; Rough sets; Set theory; Shape; Signal processing; Uncertainty; Binary image; Image processing; Mathematical Morphology; Membership grade; Rough Sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258512

Filename

4028666