A new edge-preserving smoothing filter based on fuzzy control laws and local features

Muneyasu, Mitsuji; Wada, Yuji; Hinamoto, Takao

doi:10.1109/iscas.1998.703991

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A new edge-preserving smoothing filter based on fuzzy control laws and local features

Cited by 3 publications

References 5 publications

Recent advances in fuzzy techniques for image enhancement

Recent advances in fuzzy techniques for image enhancement

An implementation of edge-preserving filters using layered fuzzy controllers with learning

An edge-preserving fuzzy filter based on differences between pixels

Contact Info

Product

Resources

About