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    ASIA unversity > 資訊學院 > 資訊工程學系 > 博碩士論文 >  Item 310904400/11789


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/11789


    Title: Illumination Invariant Local Binary Patterns for Image Matching
    Authors: Ju-Hung Lu
    Contributors: Department of Computer Science and Information Engineering
    Keywords: Image Matching;Illumination Invariant;Local Binary Pattern;Color Texture;Interest Point
    Date: 2011
    Issue Date: 2011-09-30 01:53:45 (UTC+0)
    Publisher: Asia University
    Abstract: This paper presents an illumination invariant Local Binary Pattern (LBP) operator for image matching. LBP operator characterizes the local variation around a pixel by comparing the pixel value to the values of its neighboring pixels. Instead of applying LBP operator on the color component directly, our method performs the LBP operation on the color differences in each color channel. Based on the dichromatic reflection model, the proposed color texture operator is invariant with respect to lighting geometry, highlights, and illumination color. Experimental results show robust image matching using the new color texture operator on objects that are illuminated under different illumination conditions.
    Appears in Collections:[資訊工程學系] 博碩士論文

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