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- W2283128522 abstract "CBIR (content-based image retrieval)is one of the important image retrieval method. But there is a problem in the image processing which is too large dimension and low processing efficiency. The purpose of this paper is to explore the possibility of the image retrieval by matching image feature vector directly after dimensionality reduction, which can not only solve the problem of dimension, it can also increase the processing speed. This paper, by using the HSI color model, reduce dimension of hue, saturation, intensity by LLE (Locally Linear Embedding)dimension reduction. We can take the retrieval of feature vector directly after the dimension reduction, in order to improve the image processing speed, and Image retrieval precision. The experimental results show that the algorithm is effective in image retrieval." @default.
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- W2283128522 date "2012-04-06" @default.
- W2283128522 modified "2023-09-22" @default.
- W2283128522 title "The Research on Image Retrieval Based on the LLE" @default.
- W2283128522 doi "https://doi.org/10.1109/iceice.2012.393" @default.
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