| 半监督FSVM在羽绒菱节识别中的应用 |
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| 引用本文： | 邢笛,葛洪伟.半监督FSVM在羽绒菱节识别中的应用[J].计算机工程与应用,2013,49(1):242-244,270. |
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| 作者姓名： | 邢笛 葛洪伟 |
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| 作者单位： | 江南大学 物联网工程学院,江苏无锡,214122 |
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| 摘 要： | 目前,我国对羽绒种类的识别主要由人工借助于显微镜完成,这种方法存在许多不足。提出将半监督FSVM算法引入到羽绒识别中,用半监督学习方法以少量的训练样本为基础,扩大训练样本集的规模,同时利用FSVM的特性减少半监督学习所带来的误差;利用半监督FSVM对经过处理的羽绒二值化图像中的菱节进行识别。该方法提高了菱节识别的准确率。
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| 关 键 词： | 模糊支持向量机 分类 半监督 羽绒菱节识别 |
Fuzzy Support Vector Machine based on partial supervision and its application in triangle node of feather and down category recognition |
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| XING Di
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GE Hongwei.Fuzzy Support Vector Machine based on partial supervision and its application in triangle node of feather and down category recognition[J].Computer Engineering and Applications,2013,49(1):242-244,270. |
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| Authors: | XING Di GE Hongwei |
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| Affiliation: | School of Internet of Things, Jiangnan University, Wuxi, Jiangsu 214122, China |
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| Abstract: | Currently, most work of feather and down category recognition is done by man with a microscope, but this method has many disadvantages. FSVM based on Partial Supervision(PS-FSVM)is applied to feather and down category recognition. PS-FSVM is used to increase the size of training samples, which is based on a small number of labeled training samples. Then it uses the characteristics of FSVM to reduce the impact of misclassified samples which caused by semi-supervised learning. After the image processing, the triangle node of two-value image of feather is to be recognized with PS-FSVM. The results show PS-FSVM improve the recognition rate of the triangle node. |
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| Keywords: | Fuzzy Support Vector Machine(FSVM) classification partial supervision triangle node of feather and down category recognition |
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