| 一种基于支持向量机的角点检测算法 |
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| 引用本文： | 谭振宇,杨明.一种基于支持向量机的角点检测算法[J].电子测试,2011(1):42-45. |
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| 作者姓名： | 谭振宇 杨明 |
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| 作者单位： | 中北大学理学院; |
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| 摘 要： | 支持向量机应用于文本分类、手写数字识别、基因表达等许多领域,由于Harris角点检测算子对噪声点非常敏感,本文在文献3]的基础上提出Harris算子和支持向量机相结合的方法来进行角点检测.首先利用Harris角点检测算法对两幅以上的无噪声图像提取角点,然后将提取的角点作为支持向量机的训练样本.构造支持向最机,最后利用...
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| 关 键 词： | 支持向量机 特征点提取 核函数 统计学习理论 机器学习 |
Corner detection algorithm based on support vector machine |
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| Tan Zhenyu,Yang Ming.Corner detection algorithm based on support vector machine[J].Electronic Test,2011(1):42-45. |
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| Authors: | Tan Zhenyu Yang Ming |
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| Affiliation: | Tan Zhenyu,Yang Ming (School of Science,North University of China,Taiyuan,Shanxi,030051 School of Information and Communication Engineering,030051) |
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| Abstract: | Harris corner detection is very sensitive to noise, this paper propose a corner detection algorithm based on support vector machine. Harris operator will be used in more than two images of a certain region for detecting the corner, detected corners as a support vector machine training samples, constructing the support vector machine. The support vector machine will be used to detect the non-noise images and the salt-and-pepper noise images. As a result, the support vector machine can be more accuratly detec... |
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| Keywords: | support vector machine feature extraction kernel function statistical learning theory machine learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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