Candidates should have experience in one or more of the following areas: image processing, scientific visualization, pattern recognition
Study Subject: Computer Science
Employer: University of Groningen
Level: PhD
Scholarship Description: In many scientific areas one increasingly makes use of images where each pixel holds a matrix or tensor value. This project addresses the development of a solid mathematical and algorithmic framework for connectivity-based morphological filtering and visualization of tensor images. The goal is to extend (hyper)connected, adaptive and multiscale morphological filters to tensor images. Tensor images contain a wealth of information which allows adaptive directional steering of morphological image operators. As the image data sets can grow to very large sizes, the development of efficient algorithms for the new filters is an important part of the project. A prime application area is medical imaging of the brain, where diffusion tensor magnetic resonance imaging enables the in-vivo exploration of nerve fiber bundles. We will collaborate with neuroscience researchers to explore the potential of the new morphological filters for brain connectivity analysis.
Function
- experience in one or more of the following areas: image processing, scientific visualization, pattern recognition
- programming experience in Matlab and C/C++/Java
- you are expected to have an excellent academic record (as shown by a list of examination marks) and be curious, creative and ambitious
- good command of the English language (oral and written).
- Scholarship Application Deadline: 01-12-2010
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