基于Hadoop的海量图像处理研究  

Research on Large-scale Image Processing Based on Hadoop

作　　者：郝林倩[1] 王明辉[2] HAO Linqian;WANG Minghui(Fujian Arsenal Vocational College, Fuzhou 350007, China;Sichuan University, Chengdu 610065, China)

机构地区：[1]福建船政交通职业学院,福建福州350007 [2]四川大学,四川成都610065

出　　处：《安阳师范学院学报》2018年第5期40-44,共5页Journal of Anyang Normal University

基　　金：福建省交通厅科技发展基金资助项目(201410)

摘　　要：随着互联网技术的快速发展和普及,社交媒体非常活跃,形成了大量的数字图像,除此之外,医学和遥感领域每天也会产生海量数据。传统的单机图像处理方式已经不能适应时代发展的要求,所以如何挖数据信息,同时处理海量数据就成为研究热点。Hadoop是应用非常广泛的开源性大数据处理平台,在海量图像处理方面具有突出的优势。本文首先分析大数据时代下海量图像的产生和应用情况,阐述Hadoop的特征和优势,在此基础上提出海量图像处理解决方案,从数据导入、数据服务、数据请求、可视化设计功能等几个层面深入分析,优化图像处理算法并提出高效的海量图像处理框架,经过验证,该系统框架具有良好的适用性。With the rapid development and popularization of Internet technology,social media is very active and a large number of digital images have been formed.In addition,the medical and remote sensing fields also generate huge amounts of data every day.The traditional stand-alone image processing methods can no longer meet the requirements of the development of the times.Therefore,how to dig deeper into data information and deal with mass data has become a research hotspot.The Hadoop platform is an excellent open source platform for processing large data sets and can provide new image processing solutions.This paper analyzes the generation and application background of massive image data.Based on this,it studies the massive image data processing problems based on Hadoop system,and analyzes it in depth from several aspects,such as data import,data service,data request,and visual design functions,to optimize image processing.The algorithm proposes an efficient massive image processing framework.After verification,the system framework has good applicability.

关 键 词：海量图像 HADOOP 图像处理 框架研究 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]