摘要
提出了一种基于差异约束自然语义模型的图形描述算法,建立了自然图像特征的差异相似模型,并用维数约简对图像中转化的歧义特征进行分类,实现了计算机图形的视觉特征到语义描述的转换.消除了图像转化中的歧义。实验结果证明,该方法在图像的特征理解和基于自然语义的图像特征描述中,有助于缩小图像特征的数学描述和人类理解之间的语义歧义,取得了良好的效果。
Put forward based on the differences of natural constraints the graphical representation of semantic model is established to the different characteristics of natural images similar model,and dimension reduction in images of the ambiguity of transformation of the characteristics of the classification,and realizing the computer graphic visual characteristics to the transformation of the semantic description.Eliminate the images into the ambiguity.The experimental results prove that the method in the image characteristics based on natural semantic understanding and the image characteristics description,help to narrow the mathematical description of the image characteristics between people understanding and semantic ambiguity,obtain good effect.
出处
《科技通报》
北大核心
2012年第8期74-76,共3页
Bulletin of Science and Technology
基金
河南省科技厅基础与前沿技术研究类重点项目(112300410266)
关键词
差异维数
维数约简
自然语言
differences dimension
dimension reduction
natural language