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Design of an hierarchical fuzzy filter for removal of heavy impulse noise from corrupted images

conference contribution
posted on 06.12.2017, 00:00 by Mohamed AnverMohamed Anver, Russel StonierRussel Stonier
In this paper we discuss the design of a digital image enhancement system based on a Hierarchical Fuzzy Logic (HFL) approach. Hierarchical fuzzy systems, first introduced in[10], are capable of substantially reducing the number of fuzzy rules to be learnt. We show how Evolutionary Algorithms (EAs) can be used to learn the fuzzy rules in a fuzzy image filter as opposed to determining the rules using human intuition. Results are presented for the well-known 'Lena' image and another 'Hill' image to prove that the newly designed hierarchical filter had acquired sufficient knowledge to enhance images which were not used during the training phase of the algorithm.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

344

End Page

349

Number of Pages

6

Start Date

02/12/2002

Finish Date

05/12/2002

ISBN-10

9810474806

ISBN-13

9789810474805

Location

Nanyang Technological University, Singapore

Publisher

ICARCV

Place of Publication

Singapore

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Informatics and Communication;

Era Eligible

Yes

Name of Conference

7th International Conference on Control, Automation, Robotics, and Vision

Parent Title

ICARCV 2002: Seventh International Conference on Control, Automation, Robotics and Vision

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