Capsule endoscopy video segmentation by spectral clustering
Refereed conference paper presented and published in conference proceedings


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AbstractCapsule endoscopy is a new imaging technology for small intestine due to its breakthrough for direct visualization of small intestine for the first time. However, the video data produced for each patient costs a physician much time to inspect. Aiming for reducing the burden of a physician, video scene analysis is indispensable. In this paper, we propose a new video segmentation method to analyze a CE video data since video segmentation is the first step in video scene analysis. A novel color textural feature is utilized to describe the content of the frame in a CE video, then spectral clustering method is applied to segment a CE video into meaningful parts via shot boundary detection. Preliminary experiments on ten short CE videos demonstrate a promising performance of the proposed scheme.
All Author(s) ListLi B., Yang C., Wang T., Xu G., Zhang Q., Meng M.Q.-H., Hu C.
Name of Conference2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Start Date of Conference29/06/2014
End Date of Conference04/07/2014
Place of ConferenceShenyang
Country/Region of ConferenceChina
Detailed descriptionorganized by IEEE,
Year2015
Month1
Day1
Volume Number2015-March
Issue NumberMarch
Pages976 - 979
LanguagesEnglish-United Kingdom
KeywordsCE video, Segmentation, Spectral clustering, Textural feature

Last updated on 2020-13-09 at 00:17