(Transfer) Online excerpt: online materials for image processing
There are two most important questions about image processing: one is to grasp the most
Cutting-edge content; second, the work should have a very high practical background. The solution to the first problem is to find out the most popular Super danale (
See what they are doing)
And the most authoritative publications (
Read the latest documents above)
To solve the second problem, you 'd better find a project for practical application. One of the ways to write articles while doing well is to make full use of network resources, in particular, the personal homepage of authoritative websites and danale.
I. Study Groups:
1. http://www-2.cs.cmu.edu /~ Pencil/vision.html
This is the home page of the computer vision research group at Carnegie Mellon University. It provides a wide range of materials, from the download of articles to demonstration programs, test images, common links, and related software and hardware, there is even a search engine.
2. http://www.cmis.csiro.au/IAP/zimage.htm
This is a site that focuses on image analysis. However, an image analysis
Environment --- zimage and szimage
.
3. http://www.via.cornell.edu/
Cornell University's research group for computer vision and image analysis seems to be from the department of electronics and computer engineering. Focus on medical research, but there are quite good resources on it. The key is that it is under construction and can track some information.
4. http://www2.parc.com/istl/groups/did/didoverview.shtml
There is an interesting project: Did (
Document image decoding)
.
5. http://www-cs-students.stanford.edu/
Stanford University Computer Department Homepage
6. http://www.fmrib.ox.ac.uk/analysis/
7. http://www.cse.msu.edu/prip/
This is the pattern recognition of the department of computer and electronic engineering at Michigan State University --
Image Processing Research Group, its FTP
There are many articles (new)
.
Http://pandora.inf.uni-jena.de/p/e/index.html
A Digital Image Processing Research Team in Germany can find some good link resources on it.
9. http://www-staff.it.uts.edu.au /~ Sean/CVCC. DIR/home.html
Http://cfia.gmu.edu/
11. http://peipa.essex.ac.uk/info/groups.html
It can be used to search for well-known computer vision research groups (CV groups) Worldwide)
, Strongly recommended.
Ii. Image Processing GPL
Library:
1. http://www.ph.tn.tudelft.nl /~ Klamer/cppima.html
Cppima
Is an image processing c ++
Function library. Here is a more comprehensive document about its library functions. Of course, you can also download the compressed Gzip
Package, which contains texinfo
Format document.
2. http://iraf.noao.edu/
3. http://entropy.brni-jhu.org/tnimage.html
A very good Unix
The system's image processing tool, look at it. You can build your own image processing toolkit on this basis.
4. http://sourceforge.net/projects/
This is GPL
Go to the Software Distribution Center and find the IP address you want.
Library.
Iii. Search resources:
Of course, the Basic Search Engine still has to rely on, such as Google
. The following link may save you some time:
1. http://sal.kachinatech.com/
2.
Http://cheminfo.pku.edu.cn/mirrors/SAL/index.shtml
4. danale webpage:
1. http://www.ai.mit.edu/people/wtf/
This is MIT.
Bill Freeman from the AI lab
. Well-known! Expertise: understanding --
Bayesian Model
2. http://www.merl.com/people/brand/
Merl (Mitsubishi Electric Research Laboratory)
Good at "style machine"
"Expert.
3. http://research.microsoft.com /~ Ablake/
CV
A. Blake 1977
He graduated from Trinity College of Cambridge University and has a bachelor's degree in mathematics and Electronic Science. After
, Edinburgh
, Oxford
Has established research groups and become Oxford
Professor, until 1999
He entered the Microsoft Cambridge research center in the year. The main work area is computer vision.
4. http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/har/Web/home.html
The cow seems to be learning Chinese and has collected two tigers, for example, two tigers)
. There are several cows on his homepage: shumeet baluja, Takeo kanade
. Their face detection
Is definitely world-class. He graduated from Carnegie Mellon University's computer science department and is interested in computer vision.
5. http://www.ifp.uiuc.edu/yrui_ifp_home/html/huang_.html
This old ox is at 1963
The MIT is obtained in years.
Doctor's Degree! Image lab led by him
It is famous for fingerprint recognition.
Which of the following is the herd (
Most of them are very popular Ph. D.
)
They can learn their 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 lindbglad: 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: ction 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
5. cutting-edge journals (top 10)
Most of the journals here can be found indirectly through the above danale's homepage. The list here mainly aims to save the time for the brothers who directly want to submit journals :)
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