一种基于OpenCV的图像检索系统的设计与实现  

Design and Implementation of an Image Retrieval System Based on OpenCV

作　　者：杨阳[1] YANG Yang(School of Information Engineering,HuBei Polytechnic Institute,Xiaogan Hubei 432100)

机构地区：[1]湖北职业技术学院信息工程学院,湖北孝感432100

出　　处：《软件》2025年第1期116-118,共3页Software

摘　　要：图像检索广泛应用在搜索引擎、医学影像检索、交通监测、电子商务等领域。传统的基于文本、颜色的图像检索存在查询结果中视觉信息相关度不高、干扰因素多、效率低等问题,本文设计和实现了一种使用OpenCV技术的基于图像内容的图像检索系统。实践证明,该系统使用SIFT算法和SURF算法,能够在线下根据自定义参数训练基于视觉关键词的图像特征数据库,在线上进行快速图像查询,查询结果符合用户要求。Image retrieval is widely used in search engines,medical image retrieval,traffic monitoring,e-commerce and other fields.Traditional text-based and color based image retrieval has problems such as low visual information relevance,multiple interfering factors,and low efficiency in the query results.This paper designs and implements a content-based image retrieval system using OpenCV technology.Practice has proven that the system uses SIFT algorithm and SURF algorithm to train an image feature database based on visual keywords offline according to custom parameters,and performs fast image queries online,with query results that meet user requirements.

关 键 词：图像检索 视觉信息 OPENCV SIFT算法 SURF算法 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]