Name
Abstract | ||
|---|---|---|
Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.296 | ICPR |
Keywords | Field | DocType |
Gabor filters,biological organs,data visualisation,endoscopes,medical signal processing,patient diagnosis,video signal processing,Gabor filters,bubble-like shape,clinical technique,fasting patients,intestinal juice detection,video visualization,wireless capsule video endoscopy | Computer vision,Data visualization,Wireless,Visualization,Computer science,Endoscopy,Artificial intelligence,Video visualization | Conference |
Volume | ISSN | ISBN |
4 | 1051-4651 | 0-7695-2521-0 |
Citations | PageRank | References |
20 | 1.35 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Vilariño | 1 | 263 | 22.08 |
| P. Spyridonos | 2 | 24 | 2.29 |
| O. Pujol | 3 | 20 | 1.35 |
| J. Vitria | 4 | 58 | 4.18 |
| P. Radeva | 5 | 115 | 13.89 |