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Proceedings Paper

Fuzzy morphology induced by threshold decomposition
Author(s): Zheng Gao; Han-gen He; Jianping Liu; Xiaolin Liu; Peng Xi
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Paper Abstract

In this paper, we propose a novel fuzzy morphology (FM) which is induced by threshold decomposition. Its operators are the measures on a (sigma) _ring in range space of the membership functions of fuzzy sets, which depend upon the ordinary binary morphological operators of threshold sets of fuzzy sets. Some of the characteristic of these FM are similar to those of the traditional morphology. All the operators of these FM prove to be the morphological operators in the sense of complete lattice. It is shown how one can use binary morphological operators, thresholding techniques and stacking properties to implement these FM's operators. The VLSI implementation is simple and fast. The concept of fuzzification of set_intersection is introduced. This paper also presents a general algebraic approach to analysis fuzzy morphological operators on the space of fuzzy sets.

Paper Details

Date Published: 30 June 1994
PDF: 11 pages
Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); doi: 10.1117/12.179196
Show Author Affiliations
Zheng Gao, Changsha Institute of Technology (China)
Han-gen He, Changsha Institute of Technology (China)
Jianping Liu, Changsha Institute of Technology (China)
Xiaolin Liu, Changsha Institute of Technology (China)
Peng Xi, Changsha Institute of Technology (China)


Published in SPIE Proceedings Vol. 2300:
Image Algebra and Morphological Image Processing V
Edward R. Dougherty; Paul D. Gader; Michel Schmitt, Editor(s)

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