四川大学学报（自然科学版）2017，Vol.54Issue(1)：65-70,6.DOI:103969/j.issn.0490-6756.2017.01.011
基于Spark的并行医学图像处理研究
Parallel processing researches of medical image based on Spark
摘要
Abstract
With the growing number of medical images,in order to effectively and quickly process medical images and make all kinds of medical images processing method get quickly transplant and apply.A medical image parallel processing method based on Spark is proposed,which integrate traditional medical image processing method with the Spark.Firstly,preprocess images base on binary conversion method,store images in the HDFS distributed file system.Secondly,implements a transfer function way,which realized image parallel processing quickly,avoid convert the image processing algorithms to the MapReduce algorithms.Thirdly,according to the experiment,medical image parallel processing method based on Spark has preferable adaptability and efficiency,which can adapt to the large-scale image processing.关键词
医学图像处理/Spark/并行处理/大数据Key words
Medical images processing/Spark/Parallel processing/Big data分类
信息技术与安全科学引用本文复制引用
兰云旭,王俊峰,唐鹏..基于Spark的并行医学图像处理研究[J].四川大学学报（自然科学版）,2017,54(1):65-70,6.基金项目
国家重大科技专项(2012ZX10004-901) （2012ZX10004-901）
四川省科技支撑计划项目(2013SZ0002,2014SZ0109) （2013SZ0002,2014SZ0109）
