| 基于支持向量机分类水平集方法的图像特征提取研究 |
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| 引用本文： | 王楠,李征.基于支持向量机分类水平集方法的图像特征提取研究[J].计算机光盘软件与应用,2012(1):69+74. |
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| 作者姓名： | 王楠 李征 |
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| 作者单位： | 河南大学计算机与信息工程学院 |
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| 摘 要： | 本文提出了一种基于支持向量机分类器的水平集方法的图像特征提取方法,在提取图像特征的水平集方法应用中,通过改进水平集能量函数,引入区域信息,能够同时提取图像目标的内外边界,并且收敛速度快。提取图像特征之后通过支持向量机非线性分类器对待处理图像进行分类。
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| 关 键 词： | 水平集方法 支持向量机 特征提取 |
Image Feature Extraction Study Based on Support Vector Machine Classification Level Set Methods |
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| Authors: | Wang Nan Li Zheng |
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| Affiliation: | (School of Computer and Information Engineering Henan University,Kaifeng 475001,China) |
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| Abstract: | This article proposes a level set method based on support vector machine classifier for image feature extraction method,in level set method for extracting image features in the application,by improving the energy level sets functions,the introduction of regional information,can extract the image inside and outside the boundaries of the target,and convergence speed.Feature extraction from image by nonlinear support vector machine classifier after treatment image classification. |
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| Keywords: | Level set method Support vector machine Feature extraction |
| 本文献已被 CNKI 等数据库收录！ |
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