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Paper Details
Paper Title
Bleeding Detection In Wireless Capsule Endoscopy Images Using Clustering Algorithm
Authors
  S Abinaya,  M Sivasubramanian,  A Kumari
Abstract
Wireless Capsule Endoscopy (WCE) is a great breakthrough for Gastro Intestinal (GI) Tract diagnoses, and it can view the entire gastrointestinal tract, especially the small intestine without invasiveness and sedation. However, a tough problem associated with this new technology is that too many images to be inspected by naked eyes cause a huge burden to physicians, so it is significant to find an automatic diagnosis method. In this paper, a new automatic algorithm for bleeding detection in WCE images is proposed. This new approach mainly focuses on color feature which is also a very effective clue used by physicians for diagnosis. We propose six color features in HIS color space to discriminate between bleeding and normal status. Then we use support vector classifier to verify the performance of the proposed features and judge the status of the images. Experimental results show that the proposed features and classification method is effective and the average accuracy can achieve approximately 97%.
Keywords- Wireless Capsule Endoscopy, Bleeding, ColorFeatures, Support Vector Classifier (SVC ).
Publication Details
Unique Identification Number - IJEDR1803029Page Number(s) - 164-169Pubished in - Volume 6 | Issue 3 | July 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  S Abinaya,  M Sivasubramanian,  A Kumari,   "Bleeding Detection In Wireless Capsule Endoscopy Images Using Clustering Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.164-169, July 2018, Available at :http://www.ijedr.org/papers/IJEDR1803029.pdf
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