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。
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。
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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