DocumentCode
2415015
Title
A new approach to fuzzy morphology based on fuzzy integral and its application in image processing
Author
GroBert, S. ; Koppen, M. ; Nickolay, B.
Author_Institution
Dept. for Pattern Recognition, Fraunhofer Inst. IPK Berlin, Germany
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
625
Abstract
Based on the similarities between fuzzy set theory and mathematical morphology, Grabisch (1994) proposed a fuzzy morphology based on the Sugeno fuzzy integral. This paper shows how these ideas can be applied to practical problems. Fast implementable definitions for erosion and dilation based on the fuzzy integral are given, their properties are discussed and some application examples are presented
Keywords
fuzzy set theory; image processing; integral equations; mathematical morphology; Sugeno fuzzy integral; dilation; erosion; fuzzy morphology; fuzzy set theory; image processing; mathematical morphology; Filters; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Image processing; Morphological operations; Morphology; Pattern recognition; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546899
Filename
546899
Link To Document