DocumentCode :
2168269
Title :
Grey-Scale Morphological Operators and Fuzzy Connected Filters
Author :
Deng, Tingquan ; Xie, Wei
Author_Institution :
Coll. of Sci., Harbin Eng. Univ., Harbin, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this paper mathematical morphology operators from binary image are extended to a wider class of operators, which are based on fuzzy set theory and fuzzy logic. The proposed operators are compatible with present operators for grey-scale images. A novel notion of connectivity for grey-scale images is introduced, defined by means of fuzzy logic operators assigned at fuzzy sets. A series of useful connectivity filters is proposed. Numerical experiments show the efficiency of these operators.
Keywords :
fuzzy logic; fuzzy set theory; image processing; mathematical morphology; mathematical operators; binary image; connected filters; fuzzy logic; fuzzy set theory; grey-scale images; mathematical morphology; Boundary conditions; Educational institutions; Filters; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Image analysis; Image processing; Lattices; Morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5304572
Filename :
5304572
Link To Document :
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