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
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546899
