Search Results - parallel selective image algorithm

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    Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

    Published 2020
    “…User is authorized to select and name any specified region from the image, and store the colour, brightness, size, and various kind of information together with the selected area as the individual characteristics for the particular region. …”
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    Final Year Project / Dissertation / Thesis
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    A new approach in solving illumination and facial expression problems for face recognition by Yee, Wan Wong, Kah, Phooi Seng, Li, Minn Ang

    Published 2009
    “…In this paper, a novel dual optimal multiband features (DOMF) method is presented to increase the robustness of face recognition system to illumination and facial expression variations.The wavelet packet transform first decomposes image into low-, mid- and high-frequency subbands and the multiband feature fusion technique is incorporated to select the subbands that are invariant to illumination and expression variation separately.These subbands form the optimal feature sets.Parallel radial basis function neural networks are employed to classify these feature sets.The scores generated by the neural networks are combined by an adaptive fusion mechanism where the level of illumination variations of the testing image is estimated and the weights are assigned to the scores accordingly.The experimental results show that DOMF outperforms other algorithms and also achieves promising performance on illumination and facial expression variation conditions.…”
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    Conference or Workshop Item
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    High-Speed Implementations Of Fractal Image Compression For Low And High Resolution Images by Saad, Abdul Malik Haider Yusef

    Published 2018
    “…Fractal Image Compression (FIC) is a very popular coding technique that is used in image/video applications due to its simplicity and superior performance. …”
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    Thesis
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