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一种基于视觉单词的图像检索方法 被引量：1

An Approach of Image Retrieval Based on Visual Words
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摘要 基于内容的图像检索技术最主要的问题是图像的低层特征和高层语义之间存在着"语义鸿沟"。受文本内容分析的启发,有研究学者借鉴传统词典中用文本单词组合解释术语的思路,将图像视为视觉单词的组合,利用一系列视觉单词的组合来描述图像的语义内容。为此,利用SIFT进行图像的视觉单词特征提取,然后构建视觉单词库,最后实现了一个基于视觉单词的图像检索系统。实验结果表明,该方法在一定程度上提高了图像检索的查准率。 The main problem of content-based image retrieval（CBIR） is the semantic gap between the low level features and high-level semantics of image.Desired by text content analysis which it explains terminology by combining several text words,some researchers regard image as several visual words to describe the semantic content of images.To this end,SIFT（scale-invariant feature transform） algorithm is used to extract image features and then a dictionary of visual word is constructed.Finally,an image retrieval system based on visual words is realized.Experimental results show that the proposed approach can improves the precision rate of image retrieval to some extent.
作者 刁蒙蒙 张菁 卓力 隋磊
机构地区 北京工业大学信号与信息处理研究室
出处 《测控技术》 CSCD 北大核心 2012年第5期17-20,共4页 Measurement & Control Technology
基金 国家自然科学基金资助项目(61003289 61100212) 北京市自然科学基金资助项目(4102008) 教育部新世纪优秀人才支持计划资助项目 教育部留学归国人员科研启动基金资助项目 人力资源与社会保障部留学归国人员科技活动优秀类资助项目
关键词 图像检索 视觉单词 SIFT特征 语义鸿沟 image retrieval visual word SIFT semantic gap
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献12

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二级参考文献15

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共引文献40

同被引文献13

  • 1吴建.基于颜色和形状特征的彩色图像检索技术研究[J].苏州大学学报（自然科学版）,2012,28(1):47-52. 被引量：7
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  • 10黄元元,刘宁钟.一种新的基于颜色特征的图像检索方法[J].小型微型计算机系统,2012,33(3):609-613. 被引量：7

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