| 一种基于支持向量机的图像检索方法 |
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| 引用本文： | 赵更寅,邱兆文.一种基于支持向量机的图像检索方法[J].东北林业大学学报,2009,37(10). |
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| 作者姓名： | 赵更寅 邱兆文 |
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| 作者单位： | 东北林业大学,哈尔滨,150040 |
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| 基金项目： | 黑龙江省科技攻关重点项目，黑龙江省青年科学技术专项资金项目 |
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| 摘 要： | 提出了一种基于支持向量机(Support Vector Machine,SVM)的个性图像检索方法,首先融合符合用户需求的图像的物理特征构造SVM分类器,然后把获得的图像信息提交给分类器进行识别,最后把检索结果返回给用户.实验结果表明,用SVM作为学习机器可以实现对图像的检索分类.
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| 关 键 词： | 支持向量机 特征融合 图像检测 |
An Image Detection Method Based on Support Vector Machine |
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| Zhao Gengyin,Qiu Zhaowen.An Image Detection Method Based on Support Vector Machine[J].Journal of Northeast Forestry University,2009,37(10). |
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| Authors: | Zhao Gengyin Qiu Zhaowen |
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| Institution: | Zhao Gengyin,Qiu Zhaowen(College of Information , Computer Engineering,Northeast Forestry University,Harbin 150040,P. R. China) |
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| Abstract: | An image detection method based on support vector machine (SVM) was proposed in this paper. First,syncretize the physical features of images to construct SVM classifier,and then the obtained image information is transferred to the classifier to be identified. Finally,the user gets the detection result. The experiment shows that the method could be successfully applied to the search and classification of images. |
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| Keywords: | Support vector machine Feature fusion Image detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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