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基于SVM算法的图像分类 被引量:13

Image Classification Based on SVM
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摘要 介绍了SVM算法的原理和在图像分类上的一些应用,将该算法应用于飞机图像的分类,并跟传统的神经网络分类算法进行了比较。跟传统的基于神经网络的图像分类相比,具有良好的抗噪性和较高的识别率,并且具有良好的扩展性。对于飞机图像的分类问题有较好的应用。 This paper introduces the method of support vectors machines and some applications to image recognition.This method is used to recognize some images,compared with the traditional neural network.The result shows that this method have better classification and recognition results,and it can be expanded simply.
作者 薛明东 郭立
出处 《计算机工程与应用》 CSCD 北大核心 2004年第30期230-232,共3页 Computer Engineering and Applications
关键词 分类 支持向量机 GABOR 小波变换 classification,support vectors machines,gabor wavelet
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参考文献12

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二级参考文献2

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引证文献13

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