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基于不变矩特征及SVM的图像识别
引用本文:周杰,张恒. 基于不变矩特征及SVM的图像识别[J]. 数字社区&智能家居, 2010, 0(11)
作者姓名:周杰  张恒
作者单位:南京信息工程大学电子与信息工程学院;
摘    要:该文提出了一种利用不变矩和支持向量机(SVM)对图像进行识别的方法。该方法提取图像的7个不变矩作为特征矢量,对得到的特征量应用支持向量机进行图像分类和识别。该文通过试验验证了此方法的有效性。

关 键 词:不变矩  支持向量机  图像识别  

Image Recognition Based on Moment Invariant Feature and SVM
ZHOU Jie,ZHANG Heng. Image Recognition Based on Moment Invariant Feature and SVM[J]. Digital Community & Smart Home, 2010, 0(11)
Authors:ZHOU Jie  ZHANG Heng
Affiliation:Nanjing University of Information Engineering School of Electronics and Information Engineering;Nanjing 210044;China
Abstract:Based on moment invariant feature and support vector machines,an efficient recognition method for image is proposed in this paper.Firstly,it extracts the six invariant moments as feature vectors,and the classification and recognition of image for the feature content acquired from that were performed by support vectors machine finally.Experiment result demonstrated that the method is effective.
Keywords:moment invariant  support vector machines  image recognition  
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