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电子学报  2013 

基于结构张量特征值的纹理图像分割模型

DOI: 10.3969/j.issn.0372-2112.2013.07.013, PP. 1324-1328

Keywords: 结构张量,纹理图像分割,对偶法,模糊区域竞争

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Abstract:

通过对结构张量的研究和对纹理图像的分析,提出了一种基于结构张量特征值的标量型纹理特征描述,将其和原图像分别嵌入到两相模糊区域竞争模型和CV模型中,给出了一种纹理和灰度相结合的无监督纹理图像分割模型.为获得新模型的全局最优解,采用了Chambolle对偶法加以实现.针对自然和合成纹理图像进行了相关实验,结果表明该模型特征数据维数少,具有较快的收敛速度和更准确的分割效果.

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