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Journal of Electronic Imaging

Detail-preserving smoothing with morphology and fuzzy reasoning
Author(s): Yih-Gong Lee; Yuang-cheh Hsueh
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Paper Abstract

This study investigates a new approach to removing noise that preserves the fine details which are based on combination of mathematical morphology and fuzzy reasoning. We extract some features from an image using mathematical morphology, then input these features, and the image itself, into fuzzy-rule-based systems to produce a more graceful image.

Paper Details

Date Published: 1 July 1996
PDF: 6 pages
J. Electron. Imag. 5(3) doi: 10.1117/12.240712
Published in: Journal of Electronic Imaging Volume 5, Issue 3
Show Author Affiliations
Yih-Gong Lee, National Chung Hwa Univ. (Taiwan)
Yuang-cheh Hsueh, National Chiao Tung Univ. (Taiwan)

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