Image retrieval based on Sugeno fuzzy integral

Junli Li, Zheru Chi, Gang Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

In this paper, we propose a fuzzy similarity measure based on Sugeno fuzzy integral and apply it to content-based image retrieval. Fuzzy measure is used to formulate the subjective feedback information. Experimental results show that the proposed method can improve the efficiency and reliability of image retrieval system. Our method of formulating the subjective feedback information performs better than the weighted average operator (WAO) and a Choquet-integral-based similarity measure.
Original languageEnglish
Title of host publicationProceedings - Third International Conference on Image and Graphics
Pages160-163
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2004
EventProceedings - Third International Conference on Image and Graphics - Hong Kong, Hong Kong
Duration: 18 Dec 200420 Dec 2004

Conference

ConferenceProceedings - Third International Conference on Image and Graphics
CountryHong Kong
CityHong Kong
Period18/12/0420/12/04

ASJC Scopus subject areas

  • Engineering(all)

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