1 July 1996 Detail-preserving smoothing with morphology and fuzzy reasoning
Author Affiliations +
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.
Yih-Gong Lee, Yih-Gong Lee, Yuang-cheh Hsueh, Yuang-cheh Hsueh, } "Detail-preserving smoothing with morphology and fuzzy reasoning," Journal of Electronic Imaging 5(3), (1 July 1996). https://doi.org/10.1117/12.240712 . Submission:
JOURNAL ARTICLE
6 PAGES


SHARE
RELATED CONTENT

Nonlinear edge: preserving smoothing by PDEs
Proceedings of SPIE (January 28 2009)
Directional filters for fringe pattern denoising
Proceedings of SPIE (December 03 2009)
Adaptive L-filters based on fuzzy rules
Proceedings of SPIE (March 27 1995)
A variety of multichannel sigma filters
Proceedings of SPIE (October 08 2003)

Back to Top