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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Acton, S.T. Ley, K. |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA (Acton, S.T.) |
| Abstract | The study of inflammatory disease hinges upon the behavior and movement of leukocytes and their interaction with the endothelium. We put forth a method for tracking leukocytes in vivo, whereas tracking has been demonstrated previously only for in vitro experiments. The tracker is based on the enhancing capability of morphological anisotropic diffusion, a partial differential equation model for adaptively filtering imagery that retains structures of interest. Morphological anisotropic diffusion excels over standard diffusion in the ability to preserve objects of a certain shape and scale, and it improves upon standard morphological filters in terms of edge preservation and adaptive smoothing. We use the video frames enhanced by morphological diffusion for edge-based registration and background removal in the tracking process. |
| Sponsorship | IEEE Signal Process. Soc |
| Starting Page | 300 |
| Ending Page | 303 |
| File Size | 651538 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780367251 |
| DOI | 10.1109/ICIP.2001.958487 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-07 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | White blood cells In vivo Microscopy Anisotropic magnetoresistance Adaptive filters Diseases Fasteners In vitro Partial differential equations Filtering |
| Content Type | Text |
| Resource Type | Article |
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