Bleeding detection in wireless capsule endoscopy images by support vector classifier
Refereed conference paper presented and published in conference proceedings


摘要Wireless capsule endoscopy (WCE) is a great breakthrough for Gastrointestinal (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 HSI 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%. ©2010 IEEE.
著者Cui L., Hu C., Zou Y., Meng M.Q.-H.
會議名稱2010 IEEE International Conference on Information and Automation, ICIA 2010
會議地點Harbin, Heilongjiang
頁次1746 - 1751
關鍵詞Bleeding, Color features, Support vector classifier (SVC), Wireless capsule endoscopy

上次更新時間 2021-07-04 於 00:08