计算机工程与应用2012，Vol.48Issue(16)：202-206,5.DOI:10.3778/j.issn.1002-8331.2012.16.045
基于语义分类的外观专利图像快速检索系统
Design patent image retrieval system based on semantic classification
摘要
Abstract
In the light of the characteristic of large-scale patent image feature database, this paper uses the method of Bounding Box-Contour Distances (BBCD features) and block features to extract the low-lever visual features, and combines the algorithm of classify index based on K-means clustering, considering the semantic similitude and the visual features similitude, to construct the index structure of data in patent image database. Thus it achieves the retrieval after classify function. The result shows, this method can increase the search speed and improve the semantic sensitivity.关键词
特征提取/聚类/语义分类/图像检索Key words
feature extraction/ cluster/ semantic classification/ image retrieval分类
信息技术与安全科学引用本文复制引用
李旭明,戴青云,曹江中,曹璐..基于语义分类的外观专利图像快速检索系统[J].计算机工程与应用,2012,48(16):202-206,5.基金项目
2008广东省省部产学研结合项目(No.2008B0900254) （No.2008B0900254）
2008广东省现代信息服务业重点项目(No.GDIID2008IS005). （No.GDIID2008IS005）
