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论文摘要目录： |
| 关键词：计算机应用论文 学术论文 |
基于支持向量机的目标图像识别技术
摘要：介绍了一种基于支持向量机的目标图像识别技术。详细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。为了验证本文方法的正确性，笔者采用一批太空目标图像对本文的算法进行了检验。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。本文的方法是可行的、正确的和有效的。
关键字：图像处理；图像识别；支持向量机
Target Image Recognition Technology based on Support Vector Machine
Lu Yi, Zhang Hong
(Department of Computer Science and Engineering, Zhongkai University of Agriculture and Technology, Guangzhou, 510225)
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. The example suggests that the technology of this paper is feasible, correct and valid.
KEYWORDS: image Process; image recognition; support vector machine
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