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。
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.
出处
《计算机应用与软件》
CSCD
北大核心
2003年第12期70-72,共3页
Computer Applications and Software
