摘要
本文以河北省科技资源建设项目为背景,在介绍科技资源图像检索系统结构基础上,重点分析了基于SVM(支持向量机)的相关反馈算法及其在科技资源图像检索中的应用。实验表明,该方法能够准确高效地查找出用户所需要的图像,有效地提高了图像检索效率。
This paper takes the science and technology resources construction project in Hebei Province as the background, on the foundation of introducing the science and technology resources image retrieval system structure, selective analysis relevance feedback algorithm based on SVM (support vector machines) and its' application for the image retrieval of the science and technology resources. The experiments show that this method can accurately and effectively find out images of user requirement, and raise the image retrieval efficiency effectively.
出处
《微计算机信息》
2009年第15期311-312,273,共3页
Control & Automation
基金
基金申请人:王学军
项目名称:河北省科技资源数据建设
基金颁发部门:河北省自然科学基金(06649046D)
关键词
科技资源
图像检索
相关反馈
支持向量机
Science and technology resources
content-based image retrieval
relevance feedback
SVM