Wireless Capsule Endoscopy Video Reduction Based on Camera Motion Estimation

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• 作者：Hong Liu (1) (2)
  Ning Pan (1) (2)
  Heng Lu (3)
  Enmin Song (1) (2)
  Qian Wang (4)
  Chih-Cheng Hung (5)
  
• 关键词：Wireless capsule endoscopy ; Bee algorithm ; SIFT flow ; Motion estimation
• 刊名：Journal of Digital Imaging
• 出版年：2013
• 出版时间：April 2013
• 年：2013
• 卷：26
• 期：2
• 页码：287-301
• 全文大小：1921KB
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• 作者单位：Hong Liu (1) (2)
  Ning Pan (1) (2)
  Heng Lu (3)
  Enmin Song (1) (2)
  Qian Wang (4)
  Chih-Cheng Hung (5)
  
  1. Center for Biomedical Imaging and Bioinformatics, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
  2. Key Laboratory of Education Ministry for Image Processing and Intelligence Control, Wuhan, Hubei, 430074, China
  3. Department of Gastroenterology, Nanjing Central Hospital of Nanjing Military Command of Chinese PLA, Nanjing, Jiangsu, 210002, China
  4. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, Hubei, 430073, China
  5. School of Computing and Software Engineering, Southern Polytechnic State University, Marietta, GA, 30060, USA
  
• ISSN：1618-727X

文摘

Wireless capsule endoscopy (WCE) is a novel technology aiming for investigating the diseases and abnormalities in small intestine. The major drawback of WCE examination is that it takes a long time to examine the whole WCE video. In this paper, we present a new reduction scheme for WCE video to reduce the examination time. To achieve this task, a WCE video motion model is proposed. Under this motion model, the WCE imaging motion is estimated in two stages (the coarse level and the fine level). In the coarse level, the WCE camera motion is estimated with a combination of Bee Algorithm and Mutual Information. In the fine level, the local gastrointestinal tract motion is estimated with SIFT flow. Based on the result of WCE imaging motion estimation, the reduction scheme preserves key images in WCE video with scene changes. From experimental results, we notice that the proposed motion model is suitable for the motion estimation in successive WCE images. Through the comparison with APRS and FCM-NMF scheme, our scheme can produce an acceptable reduction sequence for browsing and examination.