| 基于支持向量机的植物图像分割 |
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| 引用本文： | 马晓丹,关海鸥,黄燕. 基于支持向量机的植物图像分割[J]. 农机化研究, 2009, 31(10) |
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| 作者姓名： | 马晓丹 关海鸥 黄燕 |
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| 作者单位： | 黑龙江八一农垦大学信息学院,黑龙江,大庆163319;黑龙江八一农垦大学工程学院,黑龙江,大庆163319 |
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| 基金项目： | 黑龙江省教育厅面上课题 |
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| 摘 要： | 图像分割是计算机视觉领域的特别在小样本、高维情况下,具有较好的泛化性能.为此,以植物图像为例,结合数字图像处理技术,采用支持向量机法实现了植物叶片图像与背景图像的分割.实验证明,与传统的分割方法比较,该方法是高效和准确的.
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| 关 键 词： | 植物 图像分割 支持向量机 |
Plant Image Segmentation Based on Support Vector Machine |
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| Ma Xiaodana,Guan Haioua,Huang Yanb. Plant Image Segmentation Based on Support Vector Machine[J]. Journal of Agricultural Mechanization Research, 2009, 31(10) |
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| Authors: | Ma Xiaodana Guan Haioua Huang Yanb |
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| Affiliation: | a.College of Information Technology;b.College of Engineering;Heilongjiang August First Land Reclamation University;Daqing 163319;China |
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| Abstract: | Image segmentation is critical to computer vision.Support vector machine approach is considered a good candidate because of its good generalization performance,especially when the number of training samples is very small and the dimension of feature space is very high.This paper set soybean image for example,complete the segmentation between leaf and background using SVM and digital image processing.The result shows that,SVM is high efficient and accurate,which comparing to the traditional segmentation meth... |
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| Keywords: | plant image segmentation SVM |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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