Abstract
Human beings are exposed every day to bioaerosols 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 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. Finally we give recent results and an outlook to future work.
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Perner, P., Günther, T., Perner, H., Fiss, G., Ernst, R. (2003). Health Monitoring by an Image Interpretation System – A System for Airborne Fungi Identification. In: Perner, P., Brause, R., Holzhütter, HG. (eds) Medical Data Analysis. ISMDA 2003. Lecture Notes in Computer Science, vol 2868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39619-2_9
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DOI: https://doi.org/10.1007/978-3-540-39619-2_9
Publisher Name: Springer, Berlin, Heidelberg
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