一些图像处理的网站

<!-- /* Font Definitions */ @font-face {font-family:宋体; panose-1:2 1 6 0 3 1 1 1 1 1; mso-font-alt:SimSun; mso-font-charset:134; mso-generic-font-family:auto; mso-font-pitch:variable; mso-font-signature:3 135135232 16 0 262145 0;} @font-face {font-family:"/@宋体"; panose-1:2 1 6 0 3 1 1 1 1 1; mso-font-charset:134; mso-generic-font-family:auto; mso-font-pitch:variable; mso-font-signature:3 135135232 16 0 262145 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; text-align:justify; text-justify:inter-ideograph; mso-pagination:none; font-size:10.5pt; mso-bidi-font-size:12.0pt; font-family:"Times New Roman"; mso-fareast-font-family:宋体; mso-font-kerning:1.0pt;} /* Page Definitions */ @page {mso-page-border-surround-header:no; mso-page-border-surround-footer:no;} @page Section1 {size:595.3pt 841.9pt; margin:72.0pt 90.0pt 72.0pt 90.0pt; mso-header-margin:42.55pt; mso-footer-margin:49.6pt; mso-paper-source:0; layout-grid:15.6pt;} div.Section1 {page:Section1;} -->

作图像处理方面的研究工作,最重要的两个问题:其一是要把握住国际上最前

沿的内容;其二是所作工作要具备很高的实用背景。解决第一个问题的办法就

是找出这个方向公认最牛的几个超级大拿(看看他们都在作什么)和最权威的

出版物(阅读上面最新的文献),解决第二个问题的办法是你最好能够找到一个

实际应用的项目,边做边写文章。

做好这几点的途径之一就是充分利用网络资源,特别是权威网站和大拿们的个人主页。下面是我收集的一些资源,希望对大家有用。(这里我要感谢SMTH AI版的alamarik和Graphics版的faintt)

导航栏:

[1]研究群体
[2]大拿主页
[3]前沿期刊
[4]GPL软件资源
[5]搜索引擎

一、研究群体
http://www-2.cs.cmu.edu/~cil/vision.html
这是卡奈基梅隆大学的计算机视觉研究组的主页,上面提供很全的资料,从发表文章的下载到演示程序、测试图像、常用链接、相关软硬件,甚至还有一个搜索引擎。

http://www.cmis.csiro.au/IAP/zimage.htm
这是一个侧重图像分析的站点,一般。但是提供一个Image Analysis环境---ZIMAGE and SZIMAGE。

http://www.via.cornell.edu/
康奈尔大学的计算机视觉和图像分析研究组,好像是电子和计算机工程系的。侧重医学方面的研究,但是在上面有相当不错资源,关键是它正在建设中,能够跟踪一些信息。

http://www2.parc.com/istl/groups/did/didoverview.shtml
有一个很有意思的项目:DID(文档图像解码)。

http://www-cs-students.stanford.edu/
斯坦福大学计算机系主页,自己找吧:(

http://www.fmrib.ox.ac.uk/analysis/
主要研究:Brain Extraction Tool,Nonlinear noise reduction,Linear Image Registration,

Automated Segmentation,Structural brain change analysis,motion correction,etc.

http://www.cse.msu.edu/prip/
这是密歇根州立大学计算机和电子工程系的模式识别--图像处理研究组,它的FTP上有许多的文章(NEW)。

http://pandora.inf.uni-jena.de/p/e/index.html
德国的一个数字图像处理研究小组,在其上面能找到一些不错的链接资源。

http://www-staff.it.uts.edu.au/~sean/CVCC.dir/home.html
CVIP(used to be CVCC for Computer Vision and Cluster Computing) is a research group focusing on cluster-based computer vision within the Spiral Architecture.

http://cfia.gmu.edu/
The mission of the Center for Image Analysis is to foster multi-disciplinary research in image, multimedia and related technologies by establishing links

between academic institutes, industry and government agencies, and to transfer key technologies to

help industry build next

generation commercial and military imaging and multimedia systems.

http://peipa.essex.ac.uk/info/groups.html
可以通过它来搜索全世界各地的知名的计算机视觉研究组(CV Groups),极力推荐。

二、图像处理GPL库
http://www.ph.tn.tudelft.nl/~klamer/cppima.html
Cppima 是一个图像处理的C++函数库。这里有一个较全面介绍它的库函数的文档,当然你也可以下载压缩的GZIP包,里面包含TexInfo格式的文档。

http://iraf.noao.edu/
Welcome to the IRAF Homepage! IRAF is the Image Reduction and Analysis Facility, a general purpose software

system for the reduction and analysis of astronomical data.

http://entropy.brni-jhu.org/tnimage.html
一个非常不错的Unix系统的图像处理工具,看看它的截图。你可以在此基础上构建自己的专用图像处理工具包。

http://sourceforge.net/projects/
这是GPL软件集散地,到这里找你想要得到的IP库吧。

三、搜索资源
当然这里基本的搜索引擎还是必须要依靠的,比如Google等,可以到我常用的链接看看。下面的链接可能会节省你一些时间:

http://sal.kachinatech.com/
http://cheminfo.pku.edu.cn/mirrors/SAL/index.shtml
四、大拿网页
http://www.ai.mit.edu/people/wtf/
这位可是MIT人工智能实验室的BILL FREEMAN。大名鼎鼎!专长是:理解--贝叶斯模型。

http://www.merl.com/people/brand/
MERL(Mitsubishi Electric Research Laboratory)中的擅长“Style Machine”高手。

http://research.microsoft.com/~ablake/
CV界极有声望的A.Blake 1977年毕业于剑桥大学三一学院并或数学与电子科学学士学位。之后在MIT,Edinburgh,Oxford先后组建过研究小组并成为Oxford的教授,直到1999年进入微软剑桥研究中心。主要工作领域是计算机视觉。

http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/har/Web/home.html
这位牛人好像正在学习汉语,并且搜集了诸如“两只老虎(Two Tigers)”的歌曲,嘿嘿:)
他的主页上面还有几个牛:Shumeet Baluja, Takeo Kanade。他们的Face Detection作的绝对是世界一流。他毕业于卡奈基梅隆大学的计算机科学系,兴趣是计算机视觉。

http://www.ifp.uiuc.edu/yrui_ifp_home/html/huang_frame.html
这位老牛在1963年就获得了MIT的博士学位!他领导的Image Lab比较出名的是指纹识别。

--------------------------------------------------------------------------------

下面这些是我搜集的牛群(大部分是如日中天的Ph.D们),可以学习的是他们的Study Ways!

Finn Lindgren(Sweden):Statistical image analysis http://www.maths.lth.se/matstat/staff/finn/
Pavel Paclik(Prague):statistical pattern recognition http://www.ph.tn.tudelft.nl/~pavel/
Dr. Mark Burge:machine learning and graph theory http://cs.armstrong.edu/burge/
yalin Wang:Document Image Analysis http://students.washington.edu/~ylwang/
Geir Storvik: Image analysis http://www.math.uio.no/~geirs/
Heidorn http://alexia.lis.uiuc.edu/~heidorn/
Joakim Lindblad:Digital Image Cytometry http://www.cb.uu.se/~joakim/index_eng.html
S.Lavirotte: http://www-sop.inria.fr/cafe/Stephane.Lavirotte/
Sporring:scale-space techniques http://www.lab3d.odont.ku.dk/~sporring/
Mark Jenkinson:Reduction of MR Artefacts http://www.fmrib.ox.ac.uk/~mark/
Justin K. Romberg:digital signal processing http://www-dsp.rice.edu/~jrom/
Fauqueur:Image retrieval by regions of interest http://www-rocq.inria.fr/~fauqueur/
James J. Nolan:Computer Vision http://cs.gmu.edu/~jnolan/
Daniel X. Pape:Information http://www.bucho.org/~dpape/
Drew Pilant:remote sensing technology http://www.geo.mtu.edu/~anpilant/index.html

五、前沿期刊(TOP10)
这里的期刊大部分都可以通过上面的大拿们的主页间接找到,在这列出主要是为了节省直接想找期刊投稿的兄弟的时间:)

IEEE Trans. On PAMI http://www.computer.org/tpami/index.htm
IEEE Transactionson Image Processing http://www.ieee.org/organizations/pubs/transactions/tip.htm
Pattern Recognition http://www.elsevier.com/locate/issn/00313203
Pattern Recognition Letters http://www.elsevier.com/locate/issn/01678655

wh6831183 edited on 2005-12-02 10:50

 

 

作者

Re:【共享】图像处理网络资源( 转载)很好,很值得看! [Re:talon]

talon

图像工程

版主

发贴:
技术分: 35
积分:479
430

于 2005-10-19 21:09


神经网络

Neural Networks Tutorial Review
http://hem.hj.se/~de96klda/NeuralNetworks.htm
ftp://ftp.sas.com/pub/neural/FAQ.html


Image Compression with Neural Networks
http://www.comp.glam.ac.uk/digimaging/neural.htm


Backpropagator's Review
http://www.dontveter.com/bpr/bpr.html


Bibliographies on Neural Networks
http://liinwww.ira.uka.de/bibliography/Neural/


Intelligent Motion Control with an Artificial Cerebellum
http://www.q12.org/phd.html


Kernel Machines
http://www.kernel-machines.org/


Some Neural Networks Research Organizations
http://www.ieee.org/nnc/
http://www.inns.org/


Neural Network Modeling in Vision Research
http://www.rybak-et-al.net/nisms.html


Neural Networks and Machine Learning
http://learning.cs.toronto.edu/


Neural Application Software
http://attrasoft.com


Neural Network Toolbox for MATLAB
http://www.mathworks.com/products/neuralnet/


Netlab Software
http://www.ncrg.aston.ac.uk/netlab/


Kunama Systems Limited
http://www.kunama.co.uk/

 

 

作者

Re:【共享】图像处理网络资源( 转载)很好,很值得看! [Re:talon]

talon

图像工程

版主

发贴: 430
技术分: 35
积分:479

于 2005-10-19 21:12 user profile send a private message to user send email to talon reply to post search all posts by select and copy to clipboard. 

ie only, sorry for netscape users:-) add this post to my favorite list


Computer Vision

Computer Vision Homepage, Carnegie Mellon University
www.cs.cmu.edu/~cil/vision.html

Annotated Computer Vision Bibliography
http://iris.usc.edu/Vision-Notes/bibliography/contents.html
http://iris.usc.edu/Vision-Notes/rosenfeld/contents.html

Lawrence Berkeley National Lab Computer Vision and Robotics Applications
http://www-itg.lbl.gov/ITG.hm.pg.docs/VISIon/vision.html

CVonline by University of Edinburgh
The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision, www.dai.ed.ac.uk/CVonline

Computer Vision Handbook, www.cs.hmc.edu/~fleck/computer-vision-handbook

Vision Systems Courseware
www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.html

Research Activities in Computer Vision
http://www-syntim.inria.fr/syntim/analyse/index-eng.html

Vision Systems Acronyms
www.vision-systems-design.com/vsd/archive/acronyms.html

Dictionary of Terms in Human and Animal Vision
http://cns-web.bu.edu/pub/laliden/WWW/Visionary/Visionary.html

Metrology based on Computer Vision
www.cranfield.ac.uk/sme/amac/research/metrology/metrology.html

Digital Photography

Digital Photography, Scanning, and Image Processing
www.dbusch.com/scanners/scanners.html

 

 

作者

Re:【共享】图像处理网络资源( 转载)很好,很值得看! [Re:talon]

talon

图像工程

版主

发贴:
技术分: 35
积分:479
430

于 2005-10-19 21:14


Educational Resources, Universities

Center for Image Processing in Education
www.cipe.com
Library of Congress Call Numbers Related to Imaging Science by Rochester Institute of Technology
http://wally2.rit.edu/pubs/guides/imagingcall.html

Mathematical Experiences through Image Processing, University of Washington
www.cs.washington.edu/research/metip/metip.html

Vismod Tech Reports and Publications, MIT
http://vismod.www.media.mit.edu/cgi-bin/tr_pagemaker

Vision Lab PhD dissertation list, University of Antwerp
http://wcc.ruca.ua.ac.be/~visielab/theses.html

INRIA (France) Research Projects: Human-Computer Interaction, Image Processing, Data Management, Knowledge Systems
www.inria.fr/Themes/Theme3-eng.html

Image Processing Resources
http://eleceng.ukc.ac.uk/~rls3/Contents.htm

Publications of Carsten Steger
http://www9.informatik.tu-muenchen.de/people/steger/publications.html

FAQs

comp.dsp FAQ
www.bdti.com/faq/dsp_faq.htm
Robotics FAQ
www.frc.ri.cmu.edu/robotics-faq

Where's the sci.image.processing FAQ?
www.cc.iastate.edu/olc_answers/packages/graphics/sci.image.processing.faq.html

comp.graphics.algorithms FAQ, Section 3, 2D Image/Pixel Computations
www.exaflop.org/docs/cgafaq

Astronomical Image Processing System FAQ
www.cv.nrao.edu/aips/aips_faq.html

 

你可能感兴趣的:(图像处理)