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Proceedings Paper

Morphological fuzzified-set image algebra and cellular two-layer logic architecture
Author(s): Liren Liu; Yaozu Yin
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Paper Abstract

By developing the transform of local umbra, fuzzified sets are proposed to represent grayscale images and used to redefine the operations in mathematical morphology. A linear transform is suggested to convert the fuzzified sets back to the images. Then a set algebraic structure in the space of local umbra is established, which can describe binary and grayscale morphological functions in a uniform formulation. Further, a compact fuzzified-set image algebra is developed which has only a combined operator of a set logic followed by a fuzzified-set dilation. A cellular two-layer set-logic array architecture is suggested to execute the algorithm.

Paper Details

Date Published: 25 March 1996
PDF: 8 pages
Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); doi: 10.1117/12.235837
Show Author Affiliations
Liren Liu, Shanghai Institute of Optics and Fine Mechanics (China)
Yaozu Yin, Shanghai Institute of Optics and Fine Mechanics (China)


Published in SPIE Proceedings Vol. 2662:
Nonlinear Image Processing VII
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

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