Print Chinese character feature point is one of the important features for print Chinese character classification.

印刷体汉字特征点是印刷体汉字分类的重要特征之一。

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This paper discusses the shortage of conventional algorithms of texture classification based on wavelet transform, presents two improved approaches of point feature weighting and smart windows.

在基于小波的纹理分类算法的基础上，提出了逐点特征加权和活动窗口算法，使小波纹理分析能够用于高分辨率遥感影像的分类。

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With less manual intervention the method doesn't need image feature point extraction and pre-processing of the classification of organizations and only rely on the image information.

该方法人工干预少，不需要图像特征点的提取以及组织分类等预处理，只依赖于图像本身信息。

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