| 基于改进基本图像特征直方图的纹理分类算法 |
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| 引用本文： | 周林,平西建,童莉.基于改进基本图像特征直方图的纹理分类算法[J].系统工程与电子技术,2012,34(6):1272-1277. |
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| 作者姓名： | 周林 平西建 童莉 |
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| 作者单位： | 解放军信息工程大学信息工程学院， 河南 郑州 450002 |
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| 摘 要： | 提出了一种改进的基本图像特征(basic image feature, BIF) 直方图纹理分类算法。首先在4个尺度上分别确定图像中每个像素点对应的BIF，然后在每个尺度上分别提取6维直方图特征及3维高阶统计特征共36维特征，最后使用支持向量机(support vector machine, SVM) 作分类器对实验图像进行训练和分类。实验表明，所提方法降低了算法的计算复杂度和运行时间,对噪声有较好的鲁棒性。
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| 关 键 词： | 图像处理 纹理分类 基本图像特征 最近邻算法 支持向量机 |
Texture classification based on improved basic image features histogram |
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| ZHOU Lin
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PING Xi-jian
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TONG Li.Texture classification based on improved basic image features histogram[J].System Engineering and Electronics,2012,34(6):1272-1277. |
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| Authors: | ZHOU Lin PING Xi-jian TONG Li |
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| Institution: | Institute of Information Engineering, Information Engineering University of the PLA, Zhengzhou 450002, China |
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| Abstract: | An improved method of basic image features(BIF) histogram is proposed.Firstly,corresponding BIF of every pixel in the image is respectively computed in four scales.Secondly,six histogram features and three high order statistical features are extracted respectively in every scale.Finally,the support vector machine(SVM) is applied for training and classifying the texture images.Experiment results show that the proposed method can reduce the computing complexity and consuming time,meanwhile,it is robust to noise. |
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| Keywords: | image processing texture classification basic image feature(BIF) nearest neighbor algorithm support vector machine(SVM) |
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