To avoid the influence of background, a method of image background remove is proposed, in this paper applying color histogram and LBP algorithm to extract color and texture features.

提出基于分割算法的图像背景去除技术，用于减少背景对提取特征的干扰；用颜色直方图、LBP算法来提取图像的颜色与纹理特征。

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The image result is more accurate than that of LBP algorithm and similar to that of iterative algorithm. So this new method is a real-time and more accurate reconstruction algorithm.

该算法重建图像所用的时间与LBP算法相当，而重建图像的质量与迭代算法相近，是一种精度较高的实时重建算法。

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This algorithm constructed the texture image based on Local Binary Pattern (LBP), and then zero watermark information was constructed from the texture spectral histograms of the texture image.

该算法使用文档图像的局部二值模式(LBP)构造纹理谱图像，然后使用该纹理谱图像的直方图构造零水印信息。

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