Detail-preserving smoothing with morphology and fuzzy reasoning

Yih-Gong Lee; Yuang-cheh Hsueh

doi:10.1117/12.240712

1 July 1996 Detail-preserving smoothing with morphology and fuzzy reasoning

Yih-Gong Lee, Yuang-cheh Hsueh

Author Affiliations +

Journal of Electronic Imaging, Vol. 5, Issue 3, (July 1996). https://doi.org/10.1117/12.240712

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.

Citation Download Citation

Yih-Gong Lee and 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

Published: 1 July 1996

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available