基于深度学习的图像检索技术的实现  

Implementation of Image Retrieval Technology Based on Deep Learning

作　　者：凯比努尔·赛地艾合买提 KAI BI NU ER•Sai di ai he mai ti(Kashgar University College of Computer Science and Technology,Kashgar Xinjiang 844006)

机构地区：[1]喀什大学计算机科学与技术学院,新疆喀什844006

出　　处：《软件》2020年第11期179-181,共3页Software

摘　　要：近些年,在图片检索领域深度学习技术已经得到了广泛的应用,其价值远远超于传统的图片检索方式,深度学习技术能够将低级特征进行整合,使其具备高层属性,能够发现不同数据的分布规律。本文探讨了深度学习技术的内容,分析了基于深度学习的图像检索系统结构,研究了基于深度学习的图像检索实验,以期能够进一步提升深度学习技术的应用价值。In recent years,in the field of image retrieval,deep learning technology has been widely used,its value is far beyond the traditional image retrieval methods,deep learning technology can integrate low-level features,make it have high-level attributes,it can fi nd the distribution law of diff erent data.This paper discusses the content of deep learning technology,the structure of image retrieval system based on deep learning is analyzed,the experiment of image retrieval based on deep learning is studied,in order to further enhance the application value of deep learning technology.

关 键 词：深度学习 图像检索 技术 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]