Evaluation of an IGA-based Image Retrieval System Using Wavelet Coefficients
Inhaltsverzeichnis
Reference
Hideyuki Takagi, Sung-Bae Cho, Toshihiko Noda: Evaluation of an IGA-based Image Retrieval System Using Wavelet Coefficients. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'99), Seoul, Korea, pp.1775-1780 (Aug. 22-25, 1999)
DOI
http://dx.doi.org/10.1109/FUZZY.1999.790176
Abstract
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.
Extended Abstract
Bibtex
Used References
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Links
Full Text
http://www.design.kyushu-u.ac.jp/~takagi/TAKAGI/IECpaper/FUZZ-IEEE99_Yonsei.pdf
