[1]文政颖,李运娣. 语义指向性特征聚类的图像检索算法研究[J].计算机技术与发展,2017,27(04):83-87.
　WEN Zheng-ying,LI Yun-di. Investigation on Image Retrieval Algorithm with SemanticDirected Feature Clustering[J].,2017,27(04):83-87.
点击复制

 语义指向性特征聚类的图像检索算法研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年04期
页码:
83-87
栏目:
智能、算法、系统工程
出版日期:
2017-04-10

文章信息/Info

Title:
 Investigation on Image Retrieval Algorithm with SemanticDirected Feature Clustering
文章编号:
1673-629X（2017）04-0083-05
作者:
 文政颖; 李运娣
 河南工程学院 计算机学院
Author(s):
 WEN Zheng-ying; LI Yun-di
关键词:
 ; 语义;  聚类;  图像检索;  向量量化
Keywords:
 ; semantic; clustering; image retrieval; vector quantization
分类号:
TP391
文献标志码:
A
摘要:
 在大型多媒体数据库中,需要进行图像检索实现感兴趣图像的准确索引和多媒体数据库的准确访问.传统方法采用关联信息人工标注方法进行图像检索,随着数据库中图像信息的增大,标注检索效率较低.为提高大型多媒体数据库中图像检索的效率和精度,提出了一种基于语义指向性特征聚类的图像检索算法.该算法通过图像向量量化编码实现图像压缩,对图像中的文本信息点进行频域特征点归类,对出现重叠文本的图像帧序列进行向量量化分解,提取梯度差异信息特征,实现语义指向性特征聚类,将窗口中梯度最大值进行自适应加权,提取量化编码压缩图像的语义特征信息,采用模糊C均值聚类算法对提取的语义特征进行分类标注,由此实现大型多媒体数据库中图像的准确检索和调度.仿真结果表明,该算法的图像检索准确度较高,图像帧差为零,输出图像的峰值信噪比优于传统方法,展示了较好的图像检索能力.
Abstract:
 In large multimedia database,it is necessary to carry out the image retrieval to realize the accurate index of the interested image and correct access of the multimedia database.Traditional methods take the manually labeling method of association information for image retrieval,and with the increase of the image information in database,the efficiency is low.In order to improve the efficiency and precision of image retrieval in large multimedia database,an image retrieval algorithm is proposed based on semantic directed feature clustering.The algorithm uses vector quantization for image compression,and the frequency domain feature point of text information in the image are classified.The text image frame sequence is taken with vector quantization decomposition,extraction of feature of gradient difference information,realization of the feature clustering of semantic orientation,adaptive weighting of the maximum gradient in the window.Semantic feature information of the quantization coding compression image is extracted,and fuzzy C-means clustering algorithm is used to extract semantic features labeling,realizing the exact matching and scheduling of large multimedia database.Simulation results show that the accuracy of the algorithm for image retrieval is improved,and image frame difference is zero,and output image PSNR is more than traditional methods,which has good image retrieval performance.

相似文献/References:

[1]陈磊 陈盈.基于语义的信息集成系统研究[J].计算机技术与发展,2010,(06):74.
　CHEN Lei,CHEN Ying.Research on Semantic-Based Information Integration System[J].,2010,(04):74.
[2]高云全.一种基于语义的Web服务动态组合及其实现[J].计算机技术与发展,2009,(06):65.
　GAO Yun-quan.A Dynamic Web Services Composition and Realization Based on Semantic[J].,2009,(04):65.
[3]彭太乐 蒋建国 魏仕民 沈克.一种融合语义的图像检索技术研究[J].计算机技术与发展,2008,(03):102.
　PENG Tai-le,JIANG Jian-guo,WEI Shi-min,et al.Research on Image Retrieval Technique Using Semantic Information[J].,2008,(04):102.
[4]孙名松 刘杰 李胜利.基于语义划分的P2P搜索技术研究[J].计算机技术与发展,2010,(08):75.
　SUN Ming-song,LIU Jie,LI Sheng-li.Research on P2P Searching Technology Based on Semantic Division[J].,2010,(04):75.
[5]李杜 陈松乔.基于语义的动态服务组织模型[J].计算机技术与发展,2008,(11):32.
　LI Du,CHEN Song-qiao.Dynamic Organization Model of Services Based on Semantic[J].,2008,(04):32.
[6]张婷婷 周鸣争.一种基于语义的无线传感器网络路由算法[J].计算机技术与发展,2007,(12):103.
　ZHANG Ting-ting,ZHOU Ming-zheng.A Routing Algorithm in Wireless Sensor Networks Based on Semantic Idea[J].,2007,(04):103.
[7]周文刚 马占欣.基于代理的Web页访问语义过滤与内容重现[J].计算机技术与发展,2007,(04):120.
　ZHOU Wen-gang,MA Zhan-xin.Semantic Filtering and Content Recurrence for Web Page Accessing Based on Proxy[J].,2007,(04):120.
[8]赵国增 郭恒川.基于本体的异构数据共享研究[J].计算机技术与发展,2010,(10):39.
　ZHAO Guo-zeng,GUO Heng-chuan.Research on Heterogeneous Data Sharing Based on Ontology[J].,2010,(04):39.
[9]肖庆 焦健.网络安全策略与措施的语义一致性研究[J].计算机技术与发展,2011,(08):220.
　XIAO Qing,JIAO Jian.Research on Semantic Consistency of Network Security Policy and Measure[J].,2011,(04):220.
[10]徐卫军 李宝敏.基于本体的主动元数据挖掘系统研究[J].计算机技术与发展,2012,(03):23.
　XU Wei-jun,LI Bao-min.Research Based on Ontology Initiative Metadata Mining System[J].,2012,(04):23.
[11]金鑫,柏余杰,蔡红霞. 智能家居中语义知识表达及推理研究[J].计算机技术与发展,2014,24(07):63.
　JIN Xin,BAI Yu-jie,CAI Hong-xia. Study of Semantic Knowledge Representation and Reasoning of Smart Home[J].,2014,24(04):63.
[12]王小林,肖慧,邰伟鹏. 基于Hadoop平台的文本相似度检测系统的研究[J].计算机技术与发展,2015,25(08):90.
　WANG Xiao-lin,XIAO Hui,TAI Wei-peng. Research on Text Similarity Detection System Based on Hadoop[J].,2015,25(04):90.
[13]刘亮亮[] [],汪平仄[]. 基于Web的概念属性获取方法研究[J].计算机技术与发展,2016,26(08):12.
　LIU Liang-liang[][],WANG Ping-ze[]. Research on a Method of Conceptual Attribute Acquisition Based on Web[J].,2016,26(04):12.
[14]鞠彦辉[],牟冬梅[],韩文琪[]. 基于语义云的线上物流金融服务系统研究[J].计算机技术与发展,2016,26(08):156.
　JU Yan-hui[],MU Dong-mei[],HAN Wen-qi[]. Research on Online Logistics Finance Service System Based on Semantic Cloud[J].,2016,26(04):156.
[15]白菊[],何聚厚[]. 应用于问答系统的Lucene相似度检索算法改进[J].计算机技术与发展,2017,27(11):79.
　BAI Ju[],HE Ju-hou[]. Improvement of Lucene Similarity Search Algorithm Applied in Question Answering System[J].,2017,27(04):79.

更新日期/Last Update: 2017-06-16