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基于本体的材料腐蚀图像标注方法
引用本文:纪钢,张菲,王平. 基于本体的材料腐蚀图像标注方法[J]. 重庆理工大学学报(自然科学版), 2011, 0(4)
作者姓名:纪钢  张菲  王平
作者单位:重庆理工大学计算机科学与工程学院;
基金项目:原国防科工委项目(2006ZL1041)
摘    要:针对在基于内容的图像检索中怎样自动从图像中提取语义的问题,阐述了材料腐蚀图像本体组成方式以及基于本体的自动语义标注框架的建立过程,构建了视觉材料腐蚀特征本体处理方法,从而实现材料腐蚀图像的自动标注。

关 键 词:本体  图像标注  材料腐蚀图像  底层特征  

Research on Semantic Annotating of Corrosive Material Image base on Ontology
JI Gang,ZHANG Fei,WANG Ping. Research on Semantic Annotating of Corrosive Material Image base on Ontology[J]. Journal of Chongqing University of Technology(Natural Science), 2011, 0(4)
Authors:JI Gang  ZHANG Fei  WANG Ping
Affiliation:JI Gang,ZHANG Fei,WANG Ping(School of Computer Science and Engineering,Chongqing University of Technology,Chongqing 400054,China)
Abstract:How to automatically extract the high-level concepts from images is one of the greatest problem of content-based image retrieval currently,and image annotation is implemented as a retrieval process.In this paper,we start with the method of semantic annotating of corrosive material image.We illustrate the composition of corrosive material ontology and build the framework for annotating images automatically using ontologies and then proposed a ontology method of visual corrosive material characteristics to ac...
Keywords:ontology  annotation automatically  corrosive material image  low-level feature  
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