Publication Details |
| Category | Text Publication |
| Reference Category | Book chapters |
| DOI | 10.1007/3-540-45783-6_52 |
| Title (Primary) | Segmenting microorganisms in multi-modal volumetric datasets using a modified watershed transform |
| Title (Secondary) | Pattern Recognition. 24th DAGM Symposium Zurich, Switzerland, September 16–18, 2002 Proceedings |
| Author | Bergner, S.; Pohle, R.; Al Zubi, S.; Tönnis, K.; Eitner, A.; Neu, T.R. |
| Publisher | Van Gool, L. |
| Journal | Lecture Notes in Computer Science |
| Year | 2002 |
| Department | FLOEK; GM |
| Volume | 2449 |
| Page From | 429 |
| Page To | 437 |
| Language | englisch |
| Abstract | Aquatic interfaces in the environment are colonized by a large variety of pro- and eucaryotic microorganisms, which may be examined by confocal laser scanning microscopy. We describe an algorithm to identify and count the organisms in multi-channel volumetric datasets. Our approach is an intermediate-level segmentation combining a voxel-based classification with low-level shape characteristics (convexity). Local intensity maxima are used as seed points for a watershed transform. Subsequently, we solve the problem of over-segmentation by merging regions. The merge criterion is taking the depth of the ‘valley’ between adjacent segments into account. The method allows to make correct segmentation decisions without the use of additional shape information. Also this method provides a good basis for further analysis steps, e.g. to recognize organisms that consist of multiple parts. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=5354 |
| Bergner, S., Pohle, R., Al Zubi, S., Tönnis, K., Eitner, A., Neu, T.R. (2002): Segmenting microorganisms in multi-modal volumetric datasets using a modified watershed transform In: Van Gool, L. (ed.) Pattern Recognition. 24th DAGM Symposium Zurich, Switzerland, September 16–18, 2002 Proceedings Lect. Notes Comput. Sci. 2449 Springer, Berlin, Heidelberg, New York, p. 429 - 437 |
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