Evaluation of an IGA-based image retrieval system using wavelet coefficients

Hideyuki Takagi, Sung Bae Cho, Toshihiko Noda

Research output: Contribution to conferencePaperpeer-review

12 Citations (Scopus)

Abstract

In this paper, we evaluate the performance of an interactive genetic algorithm (IGA)-based image retrieval system with a subjective test. First, the IGA-based system that retrieves images based on wavelet analysis is introduced. Second, a psychological scale space is constructed to quantitatively express mental images to handle subjective retrieval. Third, the IGA-based system is compared with a random search-based system using the psychological space and a subjective test. The two sign tests and a statistical test have shown that the IGA-based system is significantly quicker in image retrieval than a random search-based image retrieval system.

Original languageEnglish
PagesIII-1775 - III-1780
Publication statusPublished - Dec 1 1999
EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
Duration: Aug 22 1999Aug 25 1999

Other

OtherProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
CitySeoul, South Korea
Period8/22/998/25/99

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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