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- W2338004101 abstract "This paper proposes an image retrieval method based on multi-feature similarity score fusion using genetic algorithm. Single feature describes image content only from one point of view, which has a certain one-sided. Fusing multi- feature similarity score is expected to improve the system's retrieval performance. In this paper, the retrieval results from color feature and texture feature are analyzed, and the method of fusing multi-feature similarity score is described. For the purpose of assigning the fusion weights of multi-feature similarity scores reasonably, the genetic algorithm is applied. For comparison, other three methods are implemented. They are image retrieval based on color feature, texture feature and fusion of color- texture feature similarity score with equal weights. The experimental results show that the proposed method is superior to other methods." @default.
- W2338004101 created "2016-06-24" @default.
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- W2338004101 date "2014-01-01" @default.
- W2338004101 modified "2023-09-24" @default.
- W2338004101 title "Using Genetic Algorithm Image Retrieval Based on Multi- Feature Similarity Score Fusion" @default.
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- W2338004101 hasPublicationYear "2014" @default.
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