| 一种结合训练样本筛选的SVM图像分割方法 |
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| 引用本文： | 薛志东,王燕,隋卫平. 一种结合训练样本筛选的SVM图像分割方法[J]. 计算机工程与应用, 2007, 43(10): 55-57 |
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| 作者姓名： | 薛志东 王燕 隋卫平 |
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| 作者单位： | 华中科技大学,软件学院,武汉,430074;华中科技大学,控制科学与工程系,武汉,430074;国防科技大学,机电工程与自动化学院,长沙,410073 |
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| 基金项目： | 中国教育科研网格计划ChinaGrid专题项目 |
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| 摘 要： | 基于支持向量的图像分割方法一般使用交互方式获取的训练样本,不可避免的在训练样本中引入歧义样本。这些歧义样本严重影响了基于支持向量机图像分割方法的性能。提出一种先对训练样本进行筛选,再进行分类(分割)的支持向量图像分割方法;并给出了一种基于支持向量机的样本筛选方法,可有效地降低歧义样本的影响。实验表明,经样本筛选的SVM分割方法有更好的分割性能。
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| 关 键 词： | 支持向量机 样本筛选 图像分割 |
| 文章编号： | 1002-8331（2007）10-0055-03 |
| 修稿时间： | 2006-11-01 |
SVM-based segmentation method with filtration of training samples |
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| XUE Zhi-dong,WANG Yan,SUI Wei-ping. SVM-based segmentation method with filtration of training samples[J]. Computer Engineering and Applications, 2007, 43(10): 55-57 |
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| Authors: | XUE Zhi-dong WANG Yan SUI Wei-ping |
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| Affiliation: | 1.School of Software Engineering,Huazhong University of Science and Technology,Wuhan 430074,China; 2.Department of Control Science and Engineering,Huazhong University of Science and Teehnology,Wuhan 430074,China ;3.Meehatronics and Automation School of National University of Defense Technology,Changsha 410073,China |
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| Abstract: | The mistaking samples gotten by the interactive way greatly decrease the performance of the SVM-based segmentation method.In this paper,a segmentation method based on a 2 level SVM is proposed to reduce the negative effects of the mistaking samples.The first level SVM filters out the mistaking samples,and the second level SVM segments the images.An SVM-based filtration method is also adopted.The experiments illustrate that the proposed method can get better result. |
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| Keywords: | support vector machines sample filtration image segmentation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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