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Showing 1 to 3 of 3 for “"Color SIFT"”.

  1. Investigation on advanced image search techniques

    … the similarity in their visual contents, such as color, texture, and shape, to a query image is an active research area due to its broad applications. Color, for example, provides powerful information for image search and classification. This dissertation investigates advanced image search …

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  2. Novel color and local image descriptors for content-based image search

    … novel image descriptors based on texture, shape, color, and local information for advancing content-based image search. Specifically, first, a new color multi-mask Local Binary Patterns (mLBP) descriptor is presented to improve upon the traditional Local Binary Patterns (LBP) texture descriptor …

    njit Repository record for Novel color and local image descriptors for content-based image search (opens in a new tab)

  3. Investigation of new feature descriptors for image search and classification

    … and integrating local, texture, shape as well as color information to construct robust and effective feature representations for advancing content-based image search and classification. Based on the Gabor wavelet transformation, whose kernels are similar to the 2D receptive field profiles of the …

    njit Repository record for Investigation of new feature descriptors for image search and classification (opens in a new tab)