Ajuda
Adessowiki - Collaborative Scientific Writing and Programming
Welcome to Adessowiki. This is a collaborative platform for scientific programming and document writing, initially dedicated to Image Processing and support for Python/C/C++ programming. This project is a collaboration between the University of Campinas (UNICAMP) and the Renato Archer Information Technology Center (CTI). The history of this project is described here.
Warning: As parts of these contents are still in Portugues, please Use Google translator to read this material in English.
News and Highlights
New course: Graph-based classifiers - Optimum-Path Forest (OPF)
A new course on graph-based classifiers will be offered in the 1st semester of 2012. It will be held at School of Electrical and Computer Engineering - University of Campinas (FEEC/UNICAMP).
For more details on the Optimum-Path Forest (OPF) Classifier see ToolboxOPF.
More details about the course at IA368Q. Check also the CPG/FEEC courses catalogue (http://www.fee.unicamp.br/cpg/)
SIBGRAPI tutorial
We had the pleasure to present a tutorial about Adessowiki on XXIV Sibgrapi – Conference on Graphics, Patterns and Images on August 29th. The tutorial had a hands-on part to estimulate the participants to exercise and check the available tools of the environment. Click here to access the presentation slides, proposed exercises and other useful informations.
Contents
Projects
- DTI - Diffusion Tensor Imaging and Morphological Processing
- Watershed Transform - Algorithm analysis
Courses
Toolboxes
- Toolbox ia636 - Python Image Processing Toolbox
- Toolbox ia870 - Python Morphology Toolbox
- Python Watershed Toolbox - Implementation of 15 different watershed transforms
Source code from papers
KÖRBES, A. ; VITOR, G. B. ; LOTUFO, R. ; FERREIRA, J. V. . Advances on Watershed Processing on GPU Architecture. In: 10th International Symposium on Mathematical Morphology, 2011, Intra, Lake Maggiore, Italy. MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO IMAGE AND SIGNAL PROCESSING. Heidelberg : Springer Berlin, 2011. v. 6671. p. 260-271. DOI: http://dx.doi.org/10.1007/978-3-642-21569-8_23
More about Adessowiki
Adessowiki is built around many freely available software such as Python, Django, LaTeX and many others. To know more about the system, check the documents listed below.
Slides and papers
- Adessowiki Overview -- [PDF]
- The Executable Wiki for Scientific Programming -- [PDF]
- Paper presented at the WikiSym 2009 -- [PDF],
- Paper presented at the WEPG/SIBGRAPI 2009 -- [PDF].
Adessowiki - Demonstrations
- Wiki and simple python code
- Demos written in Python and C++
- Scientific documents, papers
- Database of images
- Lab exercise
- Image Processing toolbox development
- Comparison of watershed transform algorithms
- GPU processing (CUDA)