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Bleeding detection in wireless capsule endoscopy images based on color invariants and spatial pyramids using support vector machines

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3 Author(s)
Guolan Lv ; School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China ; Guozheng Yan ; Zhiwu Wang

Wireless capsule endoscopy (WCE) is a revolutionary imaging technique that enables detailed inspection of the interior of the whole gastrointestinal tract in a non-invasive way. However, viewing WCE videos is a very time-consuming, and labor intensive task for physicians. In this paper, we propose an automatic method for bleeding detection in WCE images. A novel series of descriptors which combine color and spatial information is designed in a way that local and global features are also incorporated together. And a kernel based classification method using histogram intersection or chi-square is deployed to verify the performance of the proposed descriptors. Experiments demonstrate that the proposed kernel based scheme is very effective in detecting bleeding patterns of WCE images.

Published in:

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 30 2011-Sept. 3 2011