| 基于纹理特征提取的图像分类方法研究及系统实现* |
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| 引用本文： | 谢菲,陈雷霆,邱航.基于纹理特征提取的图像分类方法研究及系统实现*[J].计算机应用研究,2009,26(7):2767-2770. |
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| 作者姓名： | 谢菲 陈雷霆 邱航 |
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| 作者单位： | 电子科技大学,计算机科学与工程学院,成都,610054 |
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| 基金项目： | 国家“863”计划资助项目(2007AA010407，2006AA01Z335） |
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| 摘 要： | 深入研究灰度共生矩阵算法，结合和差统计法对其进行改进。编码实现改进的图像纹理提取算法，并采用基于径向基内积函数内核的支持向量机方法对图像分类效果进行实验。通过训练和测试证明，该系统能减少特征提取的计算时间和存储空间，并可达到良好的图像分类效果
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| 关 键 词： | 纹理特征提取 图像分类 灰度共生矩阵 支持向量机 |
Research of image classification methodbased on texture feature extraction and system to achieve |
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| XIE Fei,CHEN Lei ting,QIU Hang.Research of image classification methodbased on texture feature extraction and system to achieve[J].Application Research of Computers,2009,26(7):2767-2770. |
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| Authors: | XIE Fei CHEN Lei ting QIU Hang |
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| Affiliation: | (School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 610054, China) |
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| Abstract: | This paper studied GLCM algorithm, combined sum and difference histograms methord to improved it. Implemented the improved texture feature extraction method through programming, and combined SVM methods with the radial basis function (RBF) core to classify images. It proves that the system can reduce the computing time of feature extraction and achieve good results in image classification through analyzing, training and testing. |
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| Keywords: | texture feature extraction image classification grey level co occurrence matrix support vector machine(SVM) |
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