| 基于支持向量机的目标图像识别技术 |
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| 引用本文： | 张红,陆谊. 基于支持向量机的目标图像识别技术[J]. 微电子学与计算机, 2006, 23(7): 102-104 |
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| 作者姓名： | 张红 陆谊 |
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| 作者单位： | 广东仲恺农业技术学院计算机系,广东,广州,510225 |
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| 摘 要： | 介绍了目标图像的前期处理、目标图像的特征提取和基于支持向量机的目标图像识别方法。为了验证方法的正确性．采用了一批太空目标图像对其算法进行了检验。数据实例表明，支持向量机识别的正确率比其它两种神经网络方法的正确率要高很多。
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| 关 键 词： | 图像处理 图像识别 支持向量机 |
| 文章编号： | 1000-7180(2006)07-003 |
| 收稿时间： | 2005-10-03 |
| 修稿时间： | 2005-10-03 |
Target Image Recognition Technology Based on Support Vector Machine |
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| ZHANG Hong,LU Yi. Target Image Recognition Technology Based on Support Vector Machine[J]. Microelectronics & Computer, 2006, 23(7): 102-104 |
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| Authors: | ZHANG Hong LU Yi |
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| Affiliation: | Department of Computer, Zhongkai University of Agriculture and Technology, Guangzhou 510225 China |
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| Abstract: | This paper introduces a target image recognition technology based on support vector machine. The author describes the pretreatment method of target image, the eigenvector pick-up technique of target image and the target image recognition technology based on support vector machine. In order to validate the technology of this paper, the author gives a set of space image to test the proposed algorithm. |
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| Keywords: | Image process Image recognition Support vector machine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
