| 一种基于支持向量机的纹理图像分类法 |
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| 引用本文： | 辛宪会,郭建星,解志刚,邱振戈.一种基于支持向量机的纹理图像分类法[J].海洋测绘,2005,25(2):41-43,47. |
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| 作者姓名： | 辛宪会 郭建星 解志刚 邱振戈 |
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| 作者单位： | 解放军信息工程大学,测绘学院,河南,郑州,450052 |
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| 摘 要： | 支持向量机是机器学习领域的研究热点之一，是在统计学习理论基础上发展起来的新的学习算法。传统的分类法用于纹理图像分类效果往往不佳，该文研究了支持向量机的实现方法，并以纹理图像分类为例分析了支持向量机的分类性能。
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| 关 键 词： | 纹理图像 统计学习理论 支持向量机 分类超平面 核函数 |
| 文章编号： | 1671-3044(2005)02-0041-03 |
A Method of Classification for Texture Images Based on Support Vector Machine |
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| XIN Xian-hui,GUO Jian-xing,XIE Zhi-gang,QIU Zhen-ge.A Method of Classification for Texture Images Based on Support Vector Machine[J].Hydrographic Surveying and Charting,2005,25(2):41-43,47. |
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| Authors: | XIN Xian-hui GUO Jian-xing XIE Zhi-gang QIU Zhen-ge |
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| Abstract: | Support Vector Machines is a hot research field in Machine Learning and (it's) a kind of novel machine learning method based on statistical learning theory.The classification result of texture images is rather than expected by trodational methods.In this paper.the implentation method of SVM is researched,and at last the (SVM's) function in classification is analysized through the experiment of classification for texture images. |
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| Keywords: | texture image statistical learning theory support vector machines classification hyperplane kernel function |
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