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).
Publications, presentation and the history of this project is described in History of Adessowiki.
Warning: As parts of these contents are still in Portugues, please Use Google translator to read this material in English.
News
O Laboratório de Processamento Inteligente de Imagens ( L2I). da FEEC/UNICAMP, está oferecendo a oportunidade de Iniciação Científica (remunerada) na área de Processmento de Imagens Médicas.
Requisitos:
- Estudante regularmente matriculado em curso de engenharia, computação ou áreas correlatas,
- Excelente histórico escolar,
- Desenvoltura em programação (Python, MatLab ou C++),
- Familiaridade com linux
- Disponibilidade de 12 horas semanais;
- Boa organização e sistematização de informações;
- Boa capacidade de redação e elaboração de relatórios.
Os interessados deverão enviar e-mail para lrittner@gmail.com contendo CV e Histórico Escolar da Graduação
Contents
Courses
- This semester
- Previous semesters
Projects
- DTI - Diffusion Tensor Imaging and Morphological Processing
- Watershed Transform - Algorithm analysis
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].
- Tutorial presented at SIBGRAPI 2011 -- Tutorial website and slides
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)
Examples
Help
- How to use Adessowiki (can also be accessed in the "Ajuda" namespace on the left menu)