Recognition of Airborne Fungi Spores in Digital Microscopic Images

Authors:
Petra Perner;Horst Perner;Silke Janichen;Angela Buhring
Affiliations:
Institute of Computer Vision and applied Computer Sciences IBaI;Institute of Computer Vision and applied Computer Sciences IBaI;Institute of Computer Vision and applied Computer Sciences IBaI;Institute of Computer Vision and applied Computer Sciences IBaI
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Year:
2004

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Abstract

We propose and evaluate a method for the recognition of airborne fungi spores. We use a model-based object recognition method to identify spores in a digital microscopic image. We do not use the gray values of the model, but use the object edges instead. The similarity measure measures the average angle between the vectors of the template and the object. Model generation is done semi-automatically by manually tracing the object, automatic shape alignment, similarity calculation, clustering and prototype calculation.