摘要
基于颜色对人类情感的影响,采用支持向量机作为分类算法完成天气图像的情感分类。同时,为了提高分类的准确率,采用了全局颜色直方图和局部颜色特征相结合的策略。实验表明,达到了较理想的分类效果。
The research of image emotional semantic is a promising and challenging direction for research.In this paper, relationship bewteen color and human sesation was analyzed.Emotional semantic classification of weather image was performed by Support Vector Machines （SVM）. Meanwhile,in order to perfect the Classification accuracy,method indexed by global color histogram and local color feature is adopted.As show as Experiments,good Classification results can be obtained by this technique.
出处
《大连大学学报》
2008年第3期47-51,36,共6页
Journal of Dalian University
基金
辽宁省教育厅科研项目(20060040)
大连市科技基金项目(2004-166-1)
辽宁省智能信息处理重点实验室开放课题(2006-1)
关键词
情感语义
图像分类
支持向量机
颜色特征
emotional semantic
image classification
Support Vector Machine
color feature
