[1]刘小红.自适应图像压缩的水稻病害诊断平台[J].计算机技术与发展,2018,28(10):173-176.[doi:10.3969/ j. issn.1673-629X.2018.10.036]
 LIU Xiao-hong.Diagnosis Platform of Rice Diseases of Self-adapting Image Compression[J].,2018,28(10):173-176.[doi:10.3969/ j. issn.1673-629X.2018.10.036]
点击复制

自适应图像压缩的水稻病害诊断平台()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年10期
页码:
173-176
栏目:
智能、算法、系统工程
出版日期:
2018-10-10

文章信息/Info

Title:
Diagnosis Platform of Rice Diseases of Self-adapting Image Compression
文章编号:
1673-629X(2018)10-0173-04
作者:
刘小红
湖南信息学院,湖南 长沙 410151
Author(s):
LIU Xiao-hong
Hunan Institute of Information Technology,Changsha 410151,China
关键词:
Android自适应图像压缩诊断病害异步
Keywords:
Androidself-adapting image compressiondiagnosisdiseasesasynchronous
分类号:
TP39
DOI:
10.3969/ j. issn.1673-629X.2018.10.036
文献标志码:
A
摘要:
针对手机客户端上传图片缓慢、损耗数据流量、图像处理能力有限等不便于病害图像的实时、准确诊断这一问题, 提出一种在客户端将病害图像进行自适应压缩处理确保其清晰度和低容量大小后再上传的方法,并基于移动端开发了水稻病害图像诊断平台。 系统总体分为移动端和服务器端,并利用 http 网络通信层将二者相连。 围绕客户端和服务端的设计与实现,详细阐述了实现过程中的一些重要方法,如自适应图像压缩法、异步耗时压缩操作、JSON 数据交换等。 测试结果表明,该系统可解决图像上传缓慢、损耗数据流量等问题,同时可实时、准确地识别出病害种类,并提供准确的诊断信息和防治方法,在功能和性能上满足了用户的需求。
Abstract:
Because of the mobile-client uploading pictures slowly and lossing flow and limited image processing,it is not convenient to diagnose the rice diseases image accurately in time. In view of this,we put forward a method that the disease image can be adjusted and compressed to ensure its clarity and low capacity on the client before uploading,and develop a diagnosis platform for the rice diseases in mobile phone client. The system is divided into client and server,they are connected by HTTP network communication layer. Based on the design and implementation of client and server,some methods in the implementation,such as self-adapting image compression,asyn- chronous time compression,JSON data exchange,are discussed in detail. The test shows that the system can solve the problems like slow images loading and data loss,identify the types of diseases accurately in time,and provide accurate diagnostic information and prevention methods,which can meet the needs of users in function and performance.

相似文献/References:

[1]宋杰 党李成 郭振朝 赵萌.Android OS手机平台的安全机制分析和应用研究[J].计算机技术与发展,2010,(06):152.
 SONG Jie,DANG Li-cheng,GUO Zhen-chao,et al.The Security Mechanism Analysis and Applied Research of Android OS Mobile Platform[J].,2010,(10):152.
[2]胡成 任平安 李文莉.基于Android系统的FFmpeg多媒体同步传输算法研究[J].计算机技术与发展,2011,(10):85.
 HU Cheng,REN Ping-an,LI Wen-li.FFmpeg Multimedia System Based on Android Synchronous Transmission Algorithm[J].,2011,(10):85.
[3]王朝华 陈德艳 黄国宏 童怀.基于Android的智能家居系统的研究与实现[J].计算机技术与发展,2012,(06):225.
 WANG Chao-hua,CHEN De-yan,HUANG Guo-hong,et al.Research and Implementation of Smart Home Based on Android Platform[J].,2012,(10):225.
[4]王汝言 蒋子泉 刘乔寿 吴大鹏.Android下Binder进程间通信机制的分析与研究[J].计算机技术与发展,2012,(09):107.
 WANG Ru-yan,JIANG Zi-quan,LIU Qiao-shou,et al.Analysis and Research about Binder IPC Under Android[J].,2012,(10):107.
[5]程磊 胡景春 孙国峰.基于Android和WISM0228的远程控制系统[J].计算机技术与发展,2012,(10):233.
 CHENG Lei,HU Jing-chun,SUN Guo-feng.Remote Control System Based on WISMO228 Android[J].,2012,(10):233.
[6]赵英 王飞.手持移动设备在校园信息系统中的应用[J].计算机技术与发展,2012,(12):195.
 ZHAO Ying,WANG Fei.Application of Handheld Mobile Devices in Campus Network Information Platform[J].,2012,(10):195.
[7]杨飞,陈德艳,黄国宏,等.基于Android智能终端的移动视频监控系统研究[J].计算机技术与发展,2013,(02):195.
 YANG Fei,CHEN De-yan,HUANG Guo-hong,et al.Research of Mobile Video Surveillance System Based on Android Smart Terminal[J].,2013,(10):195.
[8]周鹏飞,潘地林.基于Android视频监控系统的数据处理及实现[J].计算机技术与发展,2013,(05):150.
 ZHOU Peng-fei,PAN Di-lin.Data Processing and Implementation of Video Surveillance System Based on Android[J].,2013,(10):150.
[9]杨威,高文华.基于Android的智能家居终端设计与研究[J].计算机技术与发展,2013,(07):245.
 YANG Wei,GAO Wen-hua.Design and Research of Smart Home Terminal Based on Android[J].,2013,(10):245.
[10]杨炳保.基于Android的移动云计算技术的研究[J].计算机技术与发展,2013,(08):52.
 YANG Bing-bao.Research on Mobile Cloud Computing Technology Based on Android[J].,2013,(10):52.

更新日期/Last Update: 2018-10-10