Literature DB >> 18292013

A fuzzy operator for the enhancement of blurred and noisy images.

F Russo1, G Ramponi.   

Abstract

Rule-based fuzzy operators are a novel class of operators specifically designed in order to apply the principles of approximate reasoning to digital image processing. This paper shows how a fuzzy operator that is able to perform detail sharpening but is insensitive to noise can be designed. The results obtainable by the proposed technique in the enhancement of a real image are presented.

Year:  1995        PMID: 18292013     DOI: 10.1109/83.403425

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  An extensible six-step methodology to automatically generate fuzzy DSSs for diagnostic applications.

Authors:  Antonio d'Acierno; Massimo Esposito; Giuseppe De Pietro
Journal:  BMC Bioinformatics       Date:  2013-01-14       Impact factor: 3.169

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.