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- W2011292743 abstract "본 논문은 기존 어류도감을 개선하기 위해 기존 어류도감에 IT 기술들이 적용된 전자어류도감의 개념을 도입하고 이를 위한 영상검색 알고리즘을 제안한다. 영상검색은 전자어류도감의 핵심이고 기존 어류도감을 압도하게 하는 기술이다. 어류는 동종일지라도 형태, 컬러, 질감에서 다른 특징들을 갖고, 심지어 동일 어류도 촬영 시의 자세나 주변 환경에 의해 다른 특징을 갖기 때문에 형태, 컬러, 질감의 단순한 특징을 이용하는 기존 영상검색은 전자어류도감에 적합하지 못하다. 제안된 영상검색은 어류의 머리, 몸통, 꼬리에서 추출된 상세 특징들을 채택하고, 특징들에는 그들의 불변성에 따라 가중치가 다르게 주어진다. 시뮬레이션 결과들은 제안된 알고리즘이 기존 알고리즘을 훨씬 능가하는 것을 보여준다. 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." @default.
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- W2011292743 date "2011-04-30" @default.
- W2011292743 modified "2023-09-25" @default.
- W2011292743 title "Image Retrieval for Electronic illustrated Fish Book" @default.
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- W2011292743 doi "https://doi.org/10.7840/kics.2011.36c.4.226" @default.
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