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Fast and robust segmentation of spherical particles in volumetric data sets from brightfield microscopy

IEEE International Symposium on Biomedical Imaging (ISBI): 372--375, 2008
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Abstract: In this article we present an approach for a precise segmentation of spherical particles in transmitted light image stacks. A main goal was its fast operation and a high robustness to occlusions and agglomerations of the particles. The system is based on a voting procedure that finds the centers and radii of the particles and a subsequent precise segmentation with an active contour approach. To meet the demands of an online pollenmonitor for high speed and low memory consumption a multi-scale approach was applied. The proposed techniques successfully segmented the pollen grains in a vast amount of different air samples (about 2.7TB of raw data). The results on one of the most cluttered samples are presented in this paper.

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BibTex references

@InProceedings{RWB08,
  author       = "O. Ronneberger and Q. Wang and H. Burkhardt",
  title        = "Fast and robust segmentation of spherical particles in volumetric data sets from brightfield microscopy",
  booktitle    = "IEEE International Symposium on Biomedical Imaging (ISBI)",
  pages        = "372--375",
  year         = "2008",
  url          = "http://lmb.informatik.uni-freiburg.de//Publications/2008/RWB08"
}

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