Multidimensional Image Processing
Data Analysis for Industry and the Life Sciences
The recording of vast amounts of data has become a characteristic of our time, and can be observed in areas ranging from medicine and systems biology to industrial quality control, the security sector, and financial markets. In these areas, an individual object is often described by multiple features, giving rise to "multivariate data".
We are interested in all aspects of the (semi-) automated quantitative analyis of such data, with the aim of leveraging its information content. In particular, we develop methods for the analysis of contiguous data with more than two dimensions, such as spectral images. It is our credo that satisfactory solutions to nontrivial problems require optimization at all levels. As a consequence, we deploy a fairly broad range of methods from signal processing, image processing and (un-) supervised learning that seek to optimally exploit the raw data.
Our principal application is in the development of automated diagnostic systems in medicine, biology and industrial quality control. The latter is in close collaboration with our principal sponsor, the Robert Bosch GmbH, for whom we have developed and implemented a number of systems that successfully run in a production environment, 24/7 and all year round.
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