基于感知哈希的图像检索系统  

Image Retrieval System Based on Perceptual Hashing

作　　者：刘婉婷 梁晓萍 张瀚匀 Liu Wanting;Liang Xiaoping;Zhang Hanyun(College of Computer Science and Information Technology,Guangxi Normal University,Guilin 541004;Guangxi Normal University Library,Guilin 541004)

机构地区：[1]广西师范大学计算机科学与信息工程学院,桂林541004 [2]广西师范大学图书馆,桂林541004

出　　处：《现代计算机》2021年第24期136-139,143,共5页Modern Computer

基　　金：国家自然科学基金项目(61962008)。

摘　　要：随着互联网图像数据的增加,图像检索也面临着重大挑战,良好的图像检索算法能提高图像的检索效率和精确度。近年来,感知哈希技术常被用于多媒体识别和认证等方面,利用图像哈希算法提取的图像特征具有良好的鲁棒性和唯一性。本系统使用Python语言设计和实现基于感知哈希的图像检索系统,在满足检索的需求上能达到高效的检索效果。With the increase of image data on the Internet,image retrieval is also facing great challenges.Good image retrieval algo⁃rithms can improve the efficiency and accuracy of image retrieval.In recent years,perceptual hashing technology is often used in multi⁃media recognition and authentication.The image features extracted by image hashing algorithms have good robustness and uniqueness.This paper uses Python language to implement and design an image retrieval system based on perceptual hash,which can achieve effi⁃cient retrieval results in meeting retrieval requirements.

关 键 词：感知哈希 PYTHON OPENCV 图像检索 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]