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基于梯度方向直方图特征的医学图像分类方法

Medical Image Classification Based on Histogram of Oriented Gradient
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摘要 医学图像分类是医学图像处理中的研究热点,可应用在医疗信息化、辅助诊断和远程医学等方面。采用梯度方向的直方图特征来描述图片的边缘特征,利用支持向量机对多类别的图片进行分类,并比较了几种不同的核函数对分类效果的影响。 Medical image classification is an active research topic in medical image processing, with many applications range from medical information, auxiliary diagnostic to telemedicine. In this paper, the medical images are encoded with histogram of oriented gradient, and then classified by a support vector machine classifiers. A performance compassion of different kernels is also presented.
作者 刘昌华 林怀雄 曾英琅
机构地区 解放军第
出处 《中国数字医学》 2013年第3期93-95,共3页 China Digital Medicine
关键词 医学图像分类 梯度方向直方图 支持向量机 medical image classification, histogram of Oriented Gradient, support vector machines
分类号 R445 [医药卫生—影像医学与核医学]
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参考文献6

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共引文献162

中国数字医学
2013年 第3期

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