【资料大搜罗】机器视觉和图像处理方面的资源
http://xilinx.eetrend.com/forum/9121【资料大搜罗】机器视觉和图像处理方面的资源
由 龙骑士 于 星期一, 09/14/2015 - 16:58 发表
做机器视觉和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高成就的几个超级专家(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利用网络资源,利用权威网站和专家们的个人主页。依照下面目录整理:
研究群体(国际国内)专家主页前沿国际国内期刊与会议搜索资源GPL软件资源一、研究群体
用来搜索国际知名计算机视觉研究组(CV Groups):
国际计算机视觉研究组清单http://peipa.essex.ac.uk/info/groups.html
美国计算机视觉研究组清单 http://peipa.essex.ac.uk/info/groups.html#USA
http://www-2.cs.cmu.edu/~cil/vision.html或 http://www.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。著名的有人物Tomasi, Kanade等。
卡内基梅隆大学双目实验室http://vision.middlebury.edu/stereo/
卡内基梅隆研究组http://www.cs.cmu.edu/~cil/v-groups.html还有几个实验室:
Calibrated Imaging Laboratory 图像
Digital Mapping Laboratory 映射
Interactive Systems Laboratory 互动
Vision and Autonomous Systems Center视觉自适应
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。
Cornell University——Robotics and Vision group
http://www-cs-students.stanford.edu/ 斯坦福大学计算机系主页
1. http://white.stanford.edu/
2. http://vision.stanford.edu/
3. http://ai.stanford.edu/美国斯坦福大学人工智能机器人实验室
The Stanford AI Lab (SAIL) is the intellectual home for researchers in the Stanford Computer Science Department whose primary research focus is Artificial Intelligence. The lab is located in the Gates...
Vision and Imaging Science and Technology
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/—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)。
美国密歇根州大学认知模型和图像处理实验室
The Pattern Recognition and Image Processing (PRIP) Lab faculty and students investigate the use of machines to recognize patterns or objects. Methods are developed to sense objects, to discover which...http://www.cse.msu.edu/rgroups/prip/
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。
柏林大学 http://www.cv.tu-berlin.de/
德国波恩大学视觉和认识模型小组
Computer Vision Group located within the Division III of the Computer Science Department in the University of Bonn in Germany. This server offers information on topics concerning our computer vision http://www-dbv.informatik.uni-bonn.de/
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.
英国的Bristol大学的Digital Media Group在高级图形图像方面不错。主要就是涉及到场景中光线计算的问题,比如用全局光照或是各种局部光照对高动态图的处理,还有近似真实的模拟现实环境 (照片级别的),还有用几张照片来建立3D模型(人头之类的)。另外也有对古代建筑模型复原。http://www.cs.bristol.ac.uk/Research/Digitalmedia/
而且根据Times全英计算机排名在第3, 也算比较顶尖的研究了
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。
麻省理工视觉实验室MIT http://groups.csail.mit.edu/vision/welcome/
AI Laboratory Computer Vision group
Center for Biological and Computational Learning
Media Laboratory, Vision and Modeling Group
Perceptual Science group
UC Berkeley http://0-vision.berkeley.edu.ilstest.lib.neu.edu/vsp/index.html
http://www.cs.berkeley.edu.ilste ... n/vision_group.html
加州大学伯克利分校视觉实验室David A. Forsyth:http://www.cs.berkeley.edu/~daf/
UCLA(加州大学洛杉矶分校) http://vision.ucla.edu/视觉实验室
英国牛津的A.Zisserman:http://www.robots.ox.ac.uk/~az/ 机器人实验室
美国南加州大学智能机器人和智能系统研究所University of Southern California, Los Angeles
IRIS is an interdepartmental unit of USC's School of Engineering with ties to USC's Information Sciences Institute (ISI). Members include faculty, graduate students, and research staff associated with... http://iris.usc.edu/ Computer Vision 实验室
美国南加州大学计算机视觉实验室介绍:
Computer Vision Laboratory at the University of Southern California is one of the major centers of computer vision research for thirty years. they conduct research in a number of basic and applied are...http://iris.usc.edu/USC-Computer-Vision.html
英国约克大学高级计算机结构神经网络小组
The Advanced Computer Architecture Group has had a thriving research programme in neural networks for over 10 years. The 15 researchers, led by Jim Austin, focus their work in the theory and applicati...http://www.cs.york.ac.uk/arch/neural/
瑞士戴尔莫尔感知人工智能研究所
IDIAP is a research institute established in Martigny in the Swiss Alps since 1991. Active in the areas of multimodal interaction and multimedia information management, the institute is also the leade...http://www.idiap.ch/
英国萨里大学视觉,语言和信号处理中心
The Centre for Vision, Speech and Signal Processing (CVSSP) is more than 60 members strong, comprising 12 academic staff, 18 research fellows and more than 44 research students. The activities of the ...http://www.ee.surrey.ac.uk/Research/VSSP/
美国阿默斯特马萨诸塞州立大学计算机视觉实验室
The Computer Vision Laboratory was established in the Computer Science Department at the University of Massachusetts in 1974 with the goal of investigating the scientific principles underlying the con...http://vis-www.cs.umass.edu
University of Massachusetts——Computer Vision Laboratory for Perceptual Robotics
美国芝加哥伊利诺伊斯大学贝克曼研究中心智能机器人和计算机视觉实验室
Includes the following groups: Professor Seth Hutchinson's Research Group Professor David Kriegman's Research Group Professor Jean Ponce's Research Group Professor Narendra Ahuja's Research Gro...http://www-cvr.ai.uiuc.edu/
Computer Vision and Robotics Laboratory
Vision Interfaces and Systems Laboratory (VISLab)
英国伯明翰大学计算机科学学校视觉研究小组
The vision group at the School of Computer Science (a RAE 5 rated department) performs research into a wide variety of computer vision and image understanding areas. Much of this work is performed in ...http://www.cs.bham.ac.uk/research/vision/
微软研究院机器学习与理解研究小组 / 计算机视觉小组
The research group focuses on the development of more advanced and intelligent computer systems through the exploitation of statistical methods in machine learning and computer vision. The site lists ...http://research.microsoft.com/mlp/
http://research.microsoft.com/en-us/groups/vision/
微软公司的文献:http://research.microsoft.com/research/pubs
微软亚洲研究院:http://research.microsoft.com/asia/,值得关注Harry Shum, Jian Sun, Steven Lin, Long Quan(兼职HKUST)etc.
瑞典隆德大学数学系视觉组:http://www.maths.lth.se/matematiklth/personal/andersp/
感觉国外搞视觉的好多是数学系出身,大约做计算机视觉对数学要求很高吧。
澳大利亚国立大学:http://users.rsise.anu.edu.au/~hartley/
美国北卡大学:http://www.cs.unc.edu/~marc/
法国INRIA:http://www-sop.inria.fr/odyssee/team/ 由Olivier.Faugeras领衔的牛人众多。
比利时鲁汶大学的L.Van Gool: www.esat.kuleuven.ac.be/psi/visics/
据说在这个只有中国一个小镇大小的地方的鲁汶大学在欧洲排行top10,名列世界top100,还出了几个诺贝尔奖,视觉研究也很强.
美国明德http://vision.middlebury.edu/stereo/
以下含有非顶尖美国学校研究组,没有链接(个别的上面已经提到),供参考。
Amerinex Applied Imaging, Inc.
Boston University
Image and Video Computing Research group
University of California at Santa Barbara加州大学芭芭拉分校
Vision Research Lab
University of California at San Diego加州大学圣迭戈分校
Computer Vision & Robotics Research Laboratory
Visual Computing laboratory
University of California at Irvine加州大学欧文分校,加州南部一城,在圣安娜东南,
Computer Vision laboratory
University of California, Riverside加州大学河滨分校
Visualization and Intelligent Systems Laboratory (VISLab)University of California at Santa Cruz
Perceptual Science LaboratoryCaltech (加州理工)
Vision groupUniversity of Central Florida
Computer Vision laboratoryUniversity of Florida
Center for Computer Vision and VisualizationColorado State University
Computer Vision groupColumbia University
Automated Vision Environment (CAVE)
Robotics groupUniversity of Georgia, Athens
Visual and Parallel Computing LaboratoryHarvard University(哈佛)
Robotics LaboratoryUniversity of Illinois at Urbana-Champaign
Robotics and Computer VisionUniversity of Iowa
Division of Physiologic ImagingJet Propulsion Laboratory
Machine Vision and Tracking Sensors groupKhoral Research, IncLawrence Berkeley Laboratories
Imaging and Collaborative Computing Group
Imaging and Distributed ComputingLehigh University
Image Processing and Pattern Analysis Lab
Vision And Software Technology LaboratoryUniversity of Louisville
Computer Vision and Image Processing LabUniversity of Maryland
Computer Vision LaboratoryUniversity of Miami
Underwater Vision and Imaging LaboratoryUniversity of Michigan密歇根
AI LaboratoryMichigan State University 密歇根州立
Pattern Recognition and Image Processing laboratoryEnvironmental Research Institute of Michigan (ERIM) 密歇根大学有汽车车身检测研究University of Missouri-Columbia
Computational Intelligence Research LaboratoryNEC
Computer Vision and Image ProcessingUniversity of Nevada
Computer Vision LaboratoryNotre-Dame University
Vision-Based Robotics using EstimationOhio State University
Signal Analysis and Machine Perception LaboratoryUniversity of Pennsylvania
GRASP laboratory
Medical Image Processing group
Vision Analysis and Simulation Technologies (VAST) LaboratoryPenn State University 宾夕法尼亚大学
Computer Vision
Precision Digital ImagesPurdue University普渡大学
Robot Vision laboratory
Video and Image Processing Laboratory (VIPER)Rensselaer Polytechnic Institute (RPI)
Computer Science VisionUniversity of Rochester
Center for Electronic Imaging Systems
Vision and Robotics laboratoryRutgers University (The State University of New Jersey)
Image Understanding LabUniversity of Southern California
Computer VisionUniversity of South Florida
Image Analysis Research groupStanford Research Institute International (SRI)
RADIUS -- Research and Development for Image Understanding Systems
The Perception program at SRI's AI CenterSUNY at Stony Brook
Computer Vision LabUniversity of Tennessee
Imaging, Robotics and Intelligent Systems laboratoryUniversity of Texas, Austin
Laboratory for Vision SystemsUniversity of Utah
Center for Scientific Computing and Imaging
Robotics and Computer VisionUniversity of Virginia
Computer Vision Research (CS)University of Washington
Image Computing Systems Laboratory
Information Processing Laboratory
CVIA LaboratoryUniversity of West Florida
Image Analysis/Robotics Research LaboratoryUniversity of Wisconsin
Computer Vision groupVanderbilt University
Center for Intelligent SystemsWashington State University
Imaging Research laboratoryWright-Patterson
Model-Based Vision laboratoryWright State University
Intelligent Systems LaboratoryUniversity of Wyoming
Wyoming Image and Signal Processing Research (WISPR)Yale University
Computational Vision Group http://www.cs.yale.edu/
School of Medicine, Image Processing and Analysis group国内:
中科院模式识别国家重点实验室 http://www.nlpr.ia.ac.cn/English/rv/mainpage.html
虹膜识别、掌纹识别、人脸识别、
莲花山http://www.stat.ucla.edu/~sczhu/Lotus/
天津大学精密测试技术及仪器国家重点实验室
研究方向包括:激光及光电测试技术、传感及测量信息技术、微纳测试与制造技术、制造质量控制技术。该实验室是国内精密测试领域惟一的国家重点实验室。
“智能微系统及其集成应用技术”、“微结构光学测试技术”、“油气储运安全检测技术”、“先进制造中的视觉测量及其关键技术”、“正交偏振激光器原理、特性及其在精密计量中的应用研究”等5项代表性成果(07.3)。中科院长春光机所 http://www.ciomp.ac.cn/ny/keyan.asp中科院沈阳自动化所http://www.sia.ac.cn/index.php中科院西安光机所http://www.opt.ac.cn/yanjiushi/gpcxjs1.htm北京大学智能科学系http://www.cis.pku.edu.cn/vision/vision.htm
三维视觉计算与机器人,生物特征识别与图像识别二、专家网页
http://www.ai.mit.edu/people/wtf/
这位可是MIT人工智能实验室的BILL FREEMAN。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”。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
这位专家好像正在学习汉语,主页并且搜集了诸如“两只老虎(Two Tigers)”的歌曲。
他的主页上面还有几个专家:Shumeet Baluja, Takeo Kanade。他们的Face Detection作的绝对是世界一流。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。三、前沿国际国内期刊与会议
这里的期刊大部分都可以通过上面的专家们的主页间接找到
1.国际会议 2.国际期刊 3.国内期刊 4.神经网络 5.CV 6.数字图象 7.教育资源,大学 8.常见问题
1. 国际会议
现在,国际上计算机视觉方面的三大国际会议是ICCV, CVPR和ECCV,统称之为ICE。
ICCV的全称是International Comference on Computer Vision。ICCV两年一次,与ECCV正好错开,是公认的三个会议中级别最高的。ECCV的全称是Europeon Conference on Computer Vision,是一个欧洲的会议。CVPR的全称是Internaltional Conference on Computer Vision and Pattern Recogintion国际计算机视觉与模式识别会议。这是一个一年一次的会议,举办地在美国。
ICIP—
BMVC—
MVA—
国际模式识别会议(ICPR ):
亚洲计算机视觉会议(ACCV):
2.国际期刊
以计算机视觉为主要内容之一的国际刊物也有很多,如:
International Journal of Computer Vision
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
IEEE Trans. on Robotics and Automation,
IEEE TPAMI
IEEE TIP
CVGIP Computer Vision. Graphics and Image Processing,
Visual Image Computing,
IJPRAI(Internatiorial Journat of Pattern Recognition and Artificial Intelligence)众所周知, computer vision(cv) 存在ICCV/CVPR/ECCV三个顶级会议,它们档次差不多,都应该在一流会议行列, 没有必要给个高下。有些us的人认为ICCV/CVPR略好于ECCV,而欧洲人大都认为ICCV/ECCV略好于CVPR,某些英国的人甚至认为BMVC好于CVPR。简言之, 三个会议差不多, 各有侧重和偏好。笔者就个人经验浅谈三会异同, 以供大家参考和讨论。 三者乃cv领域的旗舰和风向标,其oral paper (包括best paper) 代表当年度cv的最高水准, 在此引用Harry Shum的一句话, 想知道某个领域在做些什么,找最近几年此领域的proceeding看看就知道了。 ICCV/CVPR由IEEE Computer Society牵头组织, ECCV好像没有专门负责的组织。 CVPR每年(除2002年)都在美国开, ECCV每两年开一次,仅限欧洲, ICCV也是每两年一次,各洲轮值。 基本可以保证每年有两个会议开, 这样研究者就有两次跻身牛会的机会。
就录取率而言, 三会都有波动。 如ICCV2001录取率>30%,且出现两个人(华人)各有三篇第一作者的paper的情况, 这在顶级牛会是不常见的 (灌水嫌疑)。 但是, ICCV2003, 2005两次录取率都很低, 大约20%左右。 ECCV也是类似规律, 在2004年以前都是>30%, 2006年降低到20%左右。 CVPR的录取率近年来一直偏高,从2004年开始一直都在。最近一次CVPR2006是28.1%, CVPR2007还不知道统计数据。笔者猜测为了维持录取paper的绝对数量, 当submission少的时候录取率偏高, 反之偏低,近几年三大会议的投稿数量全部超过1000, 相对2000年前, 三会录取率均大幅度降低,最大幅度50%->20%。 对录取率走势感兴趣的朋友, 可参考 http://vrlab.epfl.ch/~ulicny/statistics/(CVPR2004的数据是错的),http://www.adaptivebox.net/research/bookmark/CICON_stat.html.显然, 投入cv的人越来越多,这个领域也是越来越大, 这点颇不似machine learning一直奉行愚蠢的小圈子主义。另外一点值得注意, ICCV/ECCV只收vision相关的topic,而cvpr会收少量的pattern recognition paper, 如finger print等,但是不收和image/video完全不占边的pr paper,如speech recognition等。我一个朋友曾经review过一篇投往CVPR的speech的paper, 三个reviewer一致拒绝,其中一个reviewer搞笑的指出, 你这篇paper应该是投ICASSP被据而转投CVPR的。 就topic而言, CVPR涵盖最广。 还有一个没有验证过的原因导致CVPR录取率高: 很多us的researcher不愿意或没有足够的经费到us以外的地方开会, 故CVPR会优先接收很多来自us的paper (让大家都happy)。以上对三会的分析对我们投paper是很有指导作用的。 目前的research我想绝大部分还是纸上谈兵, 必经 read paper -> write paper -> publish paper -> publish paper on top conferences and journals流程。故了解投paper的一些基本技巧, 掌握领域的走向和热点, 是非常必要的。 避免做无用功,选择切合的topic,改善presentation, 注意格式 (遵守规定的模板), 我想这是很多新手需要注意的问题。如ICCV2007明文规定不写summary page直接reject, 但是仍然有人忽视, 这是相当不值得的。
3.国内期刊
自动化学报、计算机学报、软件学报、电子学报,中国图象图形学报,模式识别与人工智能,光电子激光,精密光学工程等。
4.神经网络
神经网络-Neural Networks Tutorial Review
http://hem.hj.se/~de96klda/NeuralNetworks.htm
ftp://ftp.sas.com/pub/neural/FAQ.htmlImage Compression with Neural Networks
http://www.comp.glam.ac.uk/digimaging/neural.htmBackpropagator's Review
http://www.dontveter.com/bpr/bpr.htmlBibliographies on Neural Networks
http://liinwww.ira.uka.de/bibliography/Neural/Intelligent Motion Control with an Artificial Cerebellum
http://www.q12.org/phd.htmlKernel 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.htmlNeural Networks and Machine Learning
http://learning.cs.toronto.edu/Neural Application Software
http://attrasoft.comNeural 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/
5.Computer Vision(计算机视觉)
Annotated Computer Vision Bibliography
http://iris.usc.edu/Vision-Notes/bibliography/contents.html
http://iris.usc.edu/Vision-Notes/rosenfeld/contents.htmlLawrence Berkeley National Lab Computer Vision and Robotics Applications
http://www-itg.lbl.gov/ITG.hm.pg.docs/VISIon/vision.htmlCVonline by University of Edinburgh
The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision,www.dai.ed.ac.uk/CVonlineComputer Vision Handbook,
www.cs.hmc.edu/~fleck/computer-vision-handbookVision Systems Courseware
www.cs.cf.ac.uk/Dave/Vision_lecture/Vision_lecture_caller.htmlResearch Activities in Computer Vision
http://www-syntim.inria.fr/syntim/analyse/index-eng.htmlVision Systems Acronyms
www.vision-systems-design.com/vsd/archive/acronyms.htmlDictionary of Terms in Human and Animal Vision
http://cns-web.bu.edu/pub/laliden/WWW/Visionary/Visionary.htmlMetrology based on Computer Vision
www.cranfield.ac.uk/sme/amac/research/metrology/metrology.html
6.Digital Photography 数字图像
Digital Photography, Scanning, and Image Processing
www.dbusch.com/scanners/scanners.htm l
7.Educational Resources, Universities 教育资源,大学
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.htmlMathematical Experiences through Image Processing, University of Washington
www.cs.washington.edu/research/metip/metip.htmlVismod Tech Reports and Publications, MIT
www.media.mit.edu/cgi-bin/tr_pagemaker]http://vismod.www.media.mit.edu/cgi-bin/tr_pagemakerVision Lab PhD dissertation list, University of Antwerp
http://wcc.ruca.ua.ac.be/~visielab/theses.htmlINRIA (France) Research Projects: Human-Computer Interaction, Image Processing, Data Management, Knowledge Systems
www.inria.fr/Themes/Theme3-eng.htmlImage Processing Resources
http://eleceng.ukc.ac.uk/~rls3/Contents.htmPublications of Carsten Steger
http://www9.informatik.tu-muench ... r/publications.html
8.FAQs(常见问题)
comp.dsp FAQ
www.bdti.com/faq/dsp_faq.htm
Robotics FAQ
www.frc.ri.cmu.edu/robotics-faqWhere's the sci.image.processing FAQ?
www.cc.iastate.edu/olc_answers/p ... processing.faq.htmlcomp.graphics.algorithms FAQ, Section 3, 2D Image/Pixel Computations
www.exaflop.org/docs/cgafaqAstronomical Image Processing System FAQ
www.cv.nrao.edu/aips/aips_faq.html
四、搜索资源
http://sal.kachinatech.com/
http://cheminfo.pku.edu.cn/mirrors/SAL/index.shtml 北京大学Google输入:computer vision 或computer vision groups可以获得很多结果网络资源:
CVonline http://homepages.inf.ed.ac.uk/rbf/CVonline/视觉研究组列表
Computer vision test Image http://www.cs.cmu.edu/~cil/v-images.html卡内基梅隆标准图片库
视觉论文搜索:Paper search
http://www.researchindex.com五、图像处理GPL库(代码库图像库等)
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 datahttp://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,可以搜索IP库。
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