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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Feng Zhao Feng Lin Kemao Qian Hock Soon Seah Sun-Yuan Kung |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Computer Engineering, Nanyang Technological University, Singapore 639798 (Feng Zhao; Feng Lin; Kemao Qian; Hock Soon Seah) || Department of Electrical Engineering, Princeton University, NJ 08544, USA (Sun-Yuan Kung) |
| Abstract | In this paper, we propose a feature-based registration algorithm for the confocal fluorescence images captured by an endomicroscopy system. We first extract a number of feature points from the endomicroscopy images by applying the binarization-thinning process and using the Rutovitz crossing number. These feature points are then post-processed to eliminate the spurious ones. After that we use the purified feature points to complete the image registration between every two consecutive slice images. The aligned image stack will be finally utilized to reconstruct and visualize the 3D structure of the living cell and tissue in real time, which provides the opportunity for the clinicians to diagnose various diseases including the early-stage cancers. |
| Starting Page | 2517 |
| Ending Page | 2520 |
| File Size | 433672 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424456536 |
| ISSN | 15224880 |
| e-ISBN | 9781424456543 |
| e-ISBN | 9781424456550 |
| DOI | 10.1109/ICIP.2009.5414012 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-07 |
| Publisher Place | Egypt |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fluorescence Optical imaging Visualization Cancer Microscopy In vivo Image registration Image reconstruction Molecular imaging Image resolution endomicroscopic imaging Confocal fluorescence image feature extraction cellular registration |
| Content Type | Text |
| Resource Type | Article |
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