| 基于Eigenspace的面瘫判定系统 |
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| 引用本文： | 曾文珺,戚飞虎,陶峻,赵燕玲.基于Eigenspace的面瘫判定系统[J].计算机应用与软件,2003,20(12):70-72. |
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| 作者姓名： | 曾文珺 戚飞虎 陶峻 赵燕玲 |
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| 作者单位： | 1. 上海交通大学计算机科学与工程系计算机视觉实验室,上海,200030
2. 上海复旦大学附属五官科医院,上海,200031 |
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| 摘 要： | 本文将特征空间分类方法应用于面瘫图像的判定。结合应用的特点，引入多特征空间分类，比较图像与它们到两个特征空间的投影之间的距离作出判定，并在系统中加入灰度图变换，脸部子区域分割，确定对称轴和输入向量计算等前处理步骤。实验证明，本文的改进提高了系统判定的正确性。
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| 关 键 词： | 面瘫判定系统 Eigenspace 计算机视觉 特征空间分类方法 医院 主分量分析 图像特征 |
A FACIAL PARALYSIS JUDGING SYSTEM BASED ON EIGENSPACE |
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| Zeng Wenjun Qi Feihu Tao Jun.A FACIAL PARALYSIS JUDGING SYSTEM BASED ON EIGENSPACE[J].Computer Applications and Software,2003,20(12):70-72. |
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| Authors: | Zeng Wenjun Qi Feihu Tao Jun |
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| Abstract: | In this paper,Eigenspace classification method is applied to facial paralysis judgement.Considering the peculiarity of the application,multi-eigenspace classificaion is introduced into the system and images are judged by the likelihood(eigen distance)between the vectors and their projections on the eigenspaces.And the paper presents some pre-process including the translation of the gray images,the segmentation of sub-region,the decision of symmetric axis and the calculation of input vectors.The experiments demonstrated that the improvements enhance the correctness of the system. |
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| Keywords: | Eigenspace PCA Facial paralysis judgement |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
