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Fuzzy logic based interpretation and fusion of color queries
journal contribution
posted on 2017-12-06, 00:00 authored by Brijesh Verma, S KulkarniThe paper presents a novel fuzzy logic-based approach for interpretation of color queries and a technique for fusion of multiple queries. Currently, in most real world systems, users have to provide the content of color in terms of percentage or many real numbers to retrieve an image. In this paper a fuzzy logic-based interface is presented which allows user to express queries in terms of phrases like mostly red, many green, few red. The paper also presents a novel way of fusing multiple queries. By incorporating the fusion of multiple queries, it was noticed that there was a prominent increase in the confidence factor for the images. Fusion experiments were conducted with neuro-fuzzy, fuzzy AND and binary AND techniques. A comparative analysis showed that neuro-fuzzy has outperformed other two techniques.
History
Volume
147Issue
1Start Page
99End Page
118Number of Pages
20eISSN
1872-6801ISSN
0165-0114Location
NetherlandsPublisher
ElsevierPublisher DOI
Full Text URL
Language
en-ausPeer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Griffith University; Nipissing University;Era Eligible
- Yes