基于WCF技术的图像处理系统与网络化
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摘要
图像处理技术是生物医学领域主要的研究方向之一。针对生物医学图像的特点,开发特有的图像处理功能算法,是生物医学领域图像处理研究的主要手段。本研究旨在开发一个基于WCF的图像处理系统网络平台,以使借助本平台,新图像处理功能的开发能够整体化、规范化、便捷化和网络化。
本研究采用了微软公司最新推出的WCF技术,建立分布式的网络图像处理系统:利用Windows Internet信息服务,在图像工作站上架设服务器。局域网中任何一台普通的计算机上的客户端,均可以通过网络访问服务器,享受服务器提供的图像处理服务。图像处理过程中主要消耗服务器的CPU和内存等硬件资源,大大提高了图像工作站的利用率。同时,在服务器上架设图像数据库,有助于图像数据的保存和统一化管理。
本研究利用Intel IPP函数库实现图像处理的基本功能。同时,本图像处理平台还提供方便的新功能模块添加方式:支持多种开发语言、开发平台;支持动态功能添加;节省图形界面编程步骤,方便研究者新项目的开发。本平台还实现了三维重建体绘制功能,为用户提供全面的图像处理服务。
本研究开发的图像处理系统,为生物医学图像处理提供了统一化和系统化的网络平台保证,为项目的进一步研发打下了基础。
Digital image processing is one of the main fields of biomedical research. The main part of biomedical image processing is, for the characteristics of biomedical images, developing new image processing algorithms. This project aims at developing a WCF-based image processing system on a network platform. Using this system, the developing of new image processing functions will be standardized and convenient.
Using WCF, which is the latest technology of the Microsoft, this project establishes an online distributed image processing system. Thanks to Windows Internet information service, we set up the image processing server on the workstation. The clients on any ordinary computers can access the server through the Internet, and enjoy the services provided by the server. The processing of image mainly consumes the server's hardware resources, such as CPU and memory, which greatly improves the utilization of the workstation. At we set up the image database on the server part, which will be unified to manage the image data.
This project uses Intel IPP library to achieve the basic functions of image processing. And this image processing platform also provides a convenient way to add new modules: multi-language supported, multi-platforms supported and dynamic to add new features. The platform also supports three-dimensional reconstruction, and provides users with comprehensive image processing services.
This image processing system provides a unified and systematic network platform for biomedical image processing, and lays the foundation for further researches.
本研究采用了微软公司最新推出的WCF技术,建立分布式的网络图像处理系统:利用Windows Internet信息服务,在图像工作站上架设服务器。局域网中任何一台普通的计算机上的客户端,均可以通过网络访问服务器,享受服务器提供的图像处理服务。图像处理过程中主要消耗服务器的CPU和内存等硬件资源,大大提高了图像工作站的利用率。同时,在服务器上架设图像数据库,有助于图像数据的保存和统一化管理。
本研究利用Intel IPP函数库实现图像处理的基本功能。同时,本图像处理平台还提供方便的新功能模块添加方式:支持多种开发语言、开发平台;支持动态功能添加;节省图形界面编程步骤,方便研究者新项目的开发。本平台还实现了三维重建体绘制功能,为用户提供全面的图像处理服务。
本研究开发的图像处理系统,为生物医学图像处理提供了统一化和系统化的网络平台保证,为项目的进一步研发打下了基础。
Digital image processing is one of the main fields of biomedical research. The main part of biomedical image processing is, for the characteristics of biomedical images, developing new image processing algorithms. This project aims at developing a WCF-based image processing system on a network platform. Using this system, the developing of new image processing functions will be standardized and convenient.
Using WCF, which is the latest technology of the Microsoft, this project establishes an online distributed image processing system. Thanks to Windows Internet information service, we set up the image processing server on the workstation. The clients on any ordinary computers can access the server through the Internet, and enjoy the services provided by the server. The processing of image mainly consumes the server's hardware resources, such as CPU and memory, which greatly improves the utilization of the workstation. At we set up the image database on the server part, which will be unified to manage the image data.
This project uses Intel IPP library to achieve the basic functions of image processing. And this image processing platform also provides a convenient way to add new modules: multi-language supported, multi-platforms supported and dynamic to add new features. The platform also supports three-dimensional reconstruction, and provides users with comprehensive image processing services.
This image processing system provides a unified and systematic network platform for biomedical image processing, and lays the foundation for further researches.
引文
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[32]田垒,共聚焦显微图像三维可视化方法的改进研究[D],浙江大学,2007-06
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[43]Scott Klein,Professional WCF Programming[M],Wiley Publishing Inc
[44]Craig McMurtry,Marc Mercuri,Nigel Watling,Matt Winkler,Windows Communication Foundation UNLEASHED[M],Sams Publish House
[45]Chris Peiris,Dennis Mulder,Shawn Cicoria,Pro WCF Practical Microsoft SOA Implementation[M],Apress
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[49]Kniss J,McCormick P,McPherson A,Ahrens J,Painter J,Keahey J,Hansen C.Interactive texture-based volume rendering for large data sets[J].IEEE Computer Graphics and Applications,2001,21(4):52-61.
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[52]Schulze J P,Niemeier R,Lang U.The perspective shear-warp algorithm in a virtual environment[A]Proceedings of IEEE Visualization 2001[C]Washington:IEEE Computer Society,2001,207-213.
[53]Fan,Fujisaki,Miyawaki,Video-rate scanning two-photon excitation fluorescence microscopy and ratio imaging with cameleons[J],Biophysical Journal,1999,76(5),2412-2420
[54]Denk,Strickler,Webb,Two-photon laser scanning fluorescence microscopy[J],Science,1995,248(4951),73-76
[55]Wokosin,Multiphoton microscopy-a retrospective focused on the visualization of embryo division dynamics[J],Proceedings of SPIE,2001,4262(4),1-8
[56]Sheppard,Choudhury,Image formation in the scanning microscopy[J],Opt,Acta,1977,24,1051-1073
[57]Sheppard,Information capacity and resolution in an optical system[J],Journal of the Optical Society of America,1986,3(8),1152-1158
[58]Sheppard,Axial resolution of Confocal Fluorescence Microscopy[J],Misrosc,1989,154,237-341
[59]Bewersdorf,Pick,Hel,Multifocal multiphoton microscopy[J],Optics Letters,1998,23(9),655-657
[60]SU Xian-yu,ZHANG Qi-can,XIANG Li-qun,Optical 3D shape measurement for dynamic process[J],Opto-electronics Letters,2008,01,55-58
[61]SHI Yun-fei,ZHANG Shu-sheng,CAO Ju-lu FAN,3D Model Reconstruction Based on Process Information[J],Computer Aided Drafting,Design and Manufacturing,2007,17(2),15-22
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[2]Artech,我的WCF之旅[EB/OL],http://www.cnblogs.com/artech/archive/2007/02/26/656901.html,2007-02-26
[3]张逸,徐宁,WCF服务编程[M],机械工业出版社,2008,3-5
[4]Microsoft,MSDN文档[DB/CD],msdn.microsoft.com
[5]李灏晨,陈赫贝,基于.NET平台的分布式应用程序的研究[J],计算机应用研究,2003年,20卷,6期,31-34
[6]杨昌锋,王冠,司建辉,基于SOA构建新一代的企业应用集成[J],计算机应用与软件,2005,Vol.22,No.10,122—123
[7]叶钰,应时,李伟斋等,面向服务体系结构及其系统构建研究[J],计算机应用研究,2005,02,32-34
[8]Microsoft,SQL Server 2005概述[DB/CD],http://www.microsoft.com/china/sql/prodinfo/overview/default.mspx
[9]ⅡS介绍[EB/OL],http://www.newcoder.com.cn/co8652o61o98.html
[10]Yao Yan,ⅱs服务器的介绍[EB/OL],http://www.101do.com/internet/free/687.html,2007-05-16
[11]Puppet,数字图像处理介绍[EB/OL],http://www.91 ech.net/Article/HardTech/ControlTech/200701/4707.html,2007-01-25
[12]图像处理技术,数字图像处理优点[EB/OL]http://metc.gdut.edu.cm/jpkc/web/daiweb/data/16.files/j6.htm
[13]姜超,王兴国,刘济林,Intel IPP库在视频编码中的应用[J],数字电视与数字视频,2003,11,35-37
[14]Intel,Intel Integrated Performance函数库介绍[EB/OL],http://www.intel.com/cd/software/products/apac/zho/302910.htm
[15]Walkac,动态链接库[EB/OL],http://blog.edu.cn/user2/34171/archives/2006/1078204.shtml,2006-01-04
[16]祁俐娜,罗述谦,基于VTK的医学图像三维可视化初探[J],第十届全国医药信息学大会
[17]Steve Yi,WCF:Windows Communication Foundation Resources[EB/OL],http://bologs.msdn.com/steveyi/archive/2006/03/08/546828.aspx,2006-03-08
[18]寇卫东,SOA助力企业实现业务创新[EB/OL],http://www.e-works.net.cn/tbbd/0904bpm/lesson2.htm
[19]Yu Hen,WCF学习笔记[EB/OL],http://www.rainsts.net/article.asp?id=426,2007-04-15
[20]葛红梅,连接Windows和外面的世界[J],程序员,2006年11期,60-64
[21]李爱玲,三维医学图像可视化的研究和实现[D],大连理工大学,2006
[22]林雪燕,脑部MRI图像三维可视化方法的研究与实现[D],天津大学,2005
[23]王延华,洪飞,吴恩华,基于VTK库的医学图像处理子系统设计和实现[J],计算机工程与应用,2003年8月
[24]彭延军,石教英,体绘制中显示隐含分解面的一种方法及其实现[J],软件学报,2002年9月
[25]秦绪佳,医学图像二维重建及可视化技术研究[D],大连理工人学,2001
[26]王旭,赵敖波,桂业英等,医学图像序列的直接体绘制算法研究[J],生物医学工程杂志,1999年3月
[27]郑朝炜,王博亮,戴培山,鞠颖,基于VTK的鼻咽部三维重建[J],厦门大学学报,2007年3月
[28]邓俊辉,周嘉玉,唐泽圣,基于物质分类的频域体绘制算法[J],计算机学报,1996年1月
[29]康博,C≠程序员参考手册[M],清华大学出版社,200-201
[30]麦中凡,陆永宁,C#编程语言[M],北京航天航空大学出版社,531—533
[31]何小海,激光扫描共焦显微三维生物医学图像处理和重建[D],四川大学,2002
[32]田垒,共聚焦显微图像三维可视化方法的改进研究[D],浙江大学,2007-06
[33]祝世平,房建成,周锐,一种新的能量谱墒图像聚焦评价函数[J],北京航空航天大学学报,1999,25(6),720-723
[34]郭军,曾文涵,谢铁邦,基于墒函数的快速自动聚焦方法[J],计量技术,2003,11,30-32
[35]CSDN,SQL Server 2005数据库开发概述[EB/OL],http://database.51cto.com/art/200511/11497.htm,2005-11-16
[36]于大勇,袁祥岩,高万荣等,最大后验方法在图像复原中的应用[J],应用光学,2002,23(5),69-70
[37]郭学彬,李睿凡,瞿安连,最大后验概率在三维显微图像恢复中的应用[J],华中科技大学学报,2001,29(9),69-70
[38]施发刚,瞿安连,三维荧光显微镜图像的EM和调招EM恢复算法[J],光电子激光,2001,12(2),131-134
[39]洪迪慧,共聚焦图像的可视化研究[D],杭州,浙江大学,2003-06
[40]李婧,基于激光扫描共聚焦显微镜的相关图像处理技术研究[D],杭州,浙江大学,2006-05
[41]Gonzalez,Woods,Digital Image Processing[M],Publish House of Electronics Industry,630-633
[42]Justin Smith,Inside Microsoft Windows Communication Foundation[M],Microsoft Press,2007
[43]Scott Klein,Professional WCF Programming[M],Wiley Publishing Inc
[44]Craig McMurtry,Marc Mercuri,Nigel Watling,Matt Winkler,Windows Communication Foundation UNLEASHED[M],Sams Publish House
[45]Chris Peiris,Dennis Mulder,Shawn Cicoria,Pro WCF Practical Microsoft SOA Implementation[M],Apress
[46]Chen Wenping,Deng Junhui,Tang Zesheng.Multiple request oriented parallel volume rendering algorithm[J].Journal of Tsinghua University(Sci&Tech),2004,(1):33-36.
[47]MeiBer M,Huang,Bartz D,Mueller K,Crawfis R.Apractical evaluation of popular volume rendering algorithms[A].Proceedings of the 2000 IEEE Symposium on Volume Visualization[C].New York:ACM Press,2000,81-90.
[48]Wang Wencheng,Sun Hanqiu,Wu Enhua.Accelerated volume rendering[J]Journal of Computer-Aided Design&Computer Graphics,2002,14(9):880-886.
[49]Kniss J,McCormick P,McPherson A,Ahrens J,Painter J,Keahey J,Hansen C.Interactive texture-based volume rendering for large data sets[J].IEEE Computer Graphics and Applications,2001,21(4):52-61.
[50]Wittenbrink C M.Survey of parallel volume rendering algorithms[R].Palo Alto:Hewlett-Packard Laboratories,1998.
[51]Levoy M.Efficient ray tracing of volume data[J].ACM Transactions on Graphics,1990,9(3):245-261.
[52]Schulze J P,Niemeier R,Lang U.The perspective shear-warp algorithm in a virtual environment[A]Proceedings of IEEE Visualization 2001[C]Washington:IEEE Computer Society,2001,207-213.
[53]Fan,Fujisaki,Miyawaki,Video-rate scanning two-photon excitation fluorescence microscopy and ratio imaging with cameleons[J],Biophysical Journal,1999,76(5),2412-2420
[54]Denk,Strickler,Webb,Two-photon laser scanning fluorescence microscopy[J],Science,1995,248(4951),73-76
[55]Wokosin,Multiphoton microscopy-a retrospective focused on the visualization of embryo division dynamics[J],Proceedings of SPIE,2001,4262(4),1-8
[56]Sheppard,Choudhury,Image formation in the scanning microscopy[J],Opt,Acta,1977,24,1051-1073
[57]Sheppard,Information capacity and resolution in an optical system[J],Journal of the Optical Society of America,1986,3(8),1152-1158
[58]Sheppard,Axial resolution of Confocal Fluorescence Microscopy[J],Misrosc,1989,154,237-341
[59]Bewersdorf,Pick,Hel,Multifocal multiphoton microscopy[J],Optics Letters,1998,23(9),655-657
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