远程分布式数据库动态图像信息检索系统设计
DOI:
作者:
作者单位:

湖北大学 知行学院

作者简介:

通讯作者:

中图分类号:

基金项目:


Remote distributed database dynamic image informationretrieval system design
Author:
Affiliation:

ZhiXing College of Huibei University

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在社会日益多元化的今天,对于数据库的动态图像信息检索的性能要求也越来越严格。传统的图像信息检索系统存在检验图像完好率与检索图像准确率方面较差、检索的速度较慢等问题,已经不能满足当下人们对图像信息检索的需求,为此,提出了一种远程分布式数据库动态图像信息检索系统设计。首先根据远程分布式数据库的特点,设计出了动态图像的检索硬件系统框图;然后基于动态图像特征检索算法对软件进行了设计;最后进行了对比的实验。实验结果证明,该系统设计具有分布性广、通信良好以及稳健性较强的优点,检验图像完好率与检索图像准确率较高,速度较快,适应分布式的管理模式对机构进行控制,在经济上的性能也比较优越,可靠性与可用性较强,扩展性能极好,有益于多图像的共同检索。

    Abstract:

    In today"s increasingly diverse society, the performance requirements of database dynamic image information retrieval are becoming more and more stringent. Traditional image information retrieval system inspection readiness and retrieve image accuracy is poorer, retrieval speed slower, already can"t meet the current needs of people for image information retrieval, to that end, this paper proposes a remote distributed database dynamic image information retrieval system design. Firstly, based on the characteristics of remote distributed database, a block diagram of the hardware system of dynamic image is designed. Then the software is designed based on the dynamic image feature retrieval algorithm. Finally, the experiment was compared. Experimental results show that the system design has a wide distribution, good communication and strong robustness, the advantages of test pipe and retrieve image accuracy is higher, faster, to adapt to the distributed management mode to control agencies, in economic performance is superior, the reliability and availability is stronger, extension performance is very good, more than is good for image retrieval.

    参考文献
    相似文献
    引证文献
引用本文

陈君.远程分布式数据库动态图像信息检索系统设计计算机测量与控制[J].,2018,26(3):150-152.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2017-08-10
  • 最后修改日期:2017-08-10
  • 录用日期:2017-08-22
  • 在线发布日期: 2018-03-29
  • 出版日期: