计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (16): 202-206.

• 图形、图像、模式识别 • 上一篇    下一篇

基于语义分类的外观专利图像快速检索系统

李旭明,戴青云,曹江中,曹  璐   

  1. 广东工业大学 信息工程学院,广州 510006
  • 出版日期:2012-06-01 发布日期:2012-06-01

Design patent image retrieval system based on semantic classification

LI Xuming, DAI Qingyun, CAO Jiangzhong, CAO Lu   

  1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Online:2012-06-01 Published:2012-06-01

摘要: 针对大规模专利图像特征库的特点,使用边缘轮廓距离与分块特征相结合的方法提取低层视觉特征,结合基于K均值聚类的分类索引方法,兼顾语义相似和视觉特征相似,对专利图像库数据构建索引结构,实现了先分类后检索的功能。实验结果表明,方法不仅提高了检索速度,而且提高了检索的语义敏感度。

关键词: 特征提取, 聚类, 语义分类, 图像检索

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.

Key words: feature extraction, cluster, semantic classification, image retrieval