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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.

 

[ People | Research | Publications | Teaching | HCI Home ]		News
		2009 New positions are available. 2008 Bjoern Andres has won the DAGM 2008 prize for his contribution Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. Our group has become part of the newly founded Heidelberg Collaboratory for Image Processing (HCI). 2007 Mario Frank has won the Otto-Haxel Prize 2007 for his outstanding physics diploma and diploma thesis. Bernhard Renard has won a Karl-Steinbuch scholarship 2007. Michael Kelm, Bjoern Menze and Christian Zechmann have won the bwcon "Sonderpreis IT and Life Sciences". Congratulations! The proceedings from DAGM 2007 held in Heidelberg have now been published by Springer LNCS .

Last update: 17.09.2009, 13:13

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