Image acquisition and analysis of hazardous biological material in air

Authors:
Christoph Sklarczyk;Horst Perner;Hans Rieder;Walter Arnold;Petra Perner
Affiliations:
Fraunhofer-Institute for Non-Destructive Testing, Saarbrücken, Germany;Institute of Computer Vision and Applied Computer Sciences, Leipzig, Germany;Fraunhofer-Institute for Non-Destructive Testing, Saarbrücken, Germany;Fraunhofer-Institute for Non-Destructive Testing, Saarbrücken, Germany;Institute of Computer Vision and Applied Computer Sciences, Leipzig, Germany
Venue:
MDA'06/07 Proceedings of the 2007 international conference on Advances in mass data analysis of signals and images in medicine biotechnology and chemistry
Year:
2007

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Abstract

Human beings are exposed every day to bio-aerosols in the various fields of their personal and/or professional daily life. The European Commission has rules protecting employees in the workplace from biological hazards. Airborne fungi can be detected and identified by an image-acquisition and interpretation system. In this paper we present recent results on the development of an automated image acquisition, probe handling and image-interpretation system for airborne fungi identification. We explain the application domain and describe the development issues. The development strategy and the architecture of the system are described and some results are presented.