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基于多尺度几何分析与核匹配追踪的图像识别*

, PP. 776-781

Keywords: 图像识别,核匹配追踪,特征聚类,多尺度几何分析

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Abstract:

提出一种图像特征提取与识别方法.该方法利用图像多尺度几何分析中的Contourlet变换表示图像的丰富轮廓特征信息,利用Brushlet变换表示图像的纹理和平滑特征信息,将此两部分特征信息融合组成特征矩阵.选择模糊C均值聚类算法对特征矩阵进行聚类分析,获得其数据分布信息,再采用核匹配追踪分类器进行目标识别.该方法对图像中不同种类信息采用不同的表示工具,达到有效保持原始图像中有用信息的目的.对纹理图像和遥感图像进行分类与识别,结果表明与单独Contourlet和Brushlet特征提取方法相比,本文方法识别率高、运行时间短.

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