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基于不变矩特征及SVM的图像识别

Image Recognition Based on Moment Invariant Feature and SVM
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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。 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.
作者 周杰 张恒 ZHOU Jie,ZHANG Heng (Nanjing University of Information Engineering School of Electronics and Information Engineering,Nanjing 210044,China)
出处 《电脑知识与技术(过刊)》 2010年第13期2711-2712,共2页 Computer Knowledge and Technology
关键词 不变矩 支持向量机 图像识别 moment invariant support vector machines image recognition
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