A Study on Emotion Classification of Image Based on BP Neural Network

摘要：

In this paper, we adopt BP neural network as classification method and established the emotion model to simulate peoples emotion based on image template. For achieving this purpose, firstly, we used 9 images which has different features of the famous psychologist Furnhams Shape & Color Test as templates and the basis of emotion classification. Then, we got a vector which has 27 dimensions by using part-division method on color character and normalized them in the HSV color space, used Hu moment invariants to described image template shape feature. At last, we carry out classification experiments with BP neural network model. The experimental results show that BP neural network model can achieve classification of personalized emotion based on image template.

关键词： Shape A Color Test emotion classification of image BP neural network emotional comprehension

作者: JijunWang Bo Liu

作者单位: Dalian University Advanced Design Technology Center, ADTC Dalian, P. R. China

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 100-104

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）