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http://dx.doi.org/10.7840/KICS.2011.36C.4.226

Image Retrieval for Electronic illustrated Fish Book  

Ahn, Soo-Hong (코아로직)
Oh, Jeong-Su (부경대학교)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.36, no.4C, 2011 , pp. 226-231 More about this Journal
Abstract
To improve the conventional illustrated fish book, this paper introduces the concept of an electronic illustrated fish book which applies IT techniques to the conventional one, and proposes the image retrieval for it. The image retrieval is a core technology of the electronic illustrated fish book and make it overwhelm the conventional one. Since fishes, even if the same kind, have different features in shape, color, and texture and the same fish can even have different features by its pose or environment at that time for taking a picture, the conventional image retrieval, that uses simple features in shape, color, and texture, is not suitable for the electronic illustrated fish book. The proposed image retrieval adopts detail shape features extracted from head, body, and tail of a fish and different weights are given to the features depending on their invariability. The simulation results show that the proposed algorithm is far superior to the conventional algorithm.
Keywords
fish image; image retrieval; illustrated fish book; shape feature;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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