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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ronneberger, O. Qing Wang Burkhardt, H. |
| Copyright Year | 2008 |
| Description | Author affiliation: Lehrstuhl fur Mustererkennung und Bildverarbeitung, Univ. Freiburg, Freiburg (Ronneberger, O.; Qing Wang; Burkhardt, H.) |
| 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. |
| Starting Page | 372 |
| Ending Page | 375 |
| File Size | 684839 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424420025 |
| DOI | 10.1109/ISBI.2008.4541010 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-14 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Microscopy Image segmentation Voting Active contours Object detection Detectors Feature extraction Automatic control Laboratories pollenmonitor Spherical segmentation detection Hough transform snakes pollen |
| Content Type | Text |
| Resource Type | Article |
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