Wireless Capsule Endoscopy Video Reduction Based on Camera Motion Estimation.
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 redu...
| Publicado en: | Journal of Digital Imaging Vol. 26; no. 2; pp. 287 - 302 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104249472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104249472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2013 vid: 26 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104249472 86060002 10.1007/s10278-012-9519-x NLM22868484 PMC3597950 104249472 ppf: 287 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Wireless Capsule Endoscopy Video Reduction Based on Camera Motion Estimation. aug: au: Liu, Hong Pan, Ning Lu, Heng Song, Enmin Wang, Qian Hung, Chih-Cheng affil: Department of Gastroenterology, Nanjing Central Hospital of Nanjing Military Command of Chinese PLA, Nanjing 210002 China sug: subj: Capsule Endoscopy Wireless Communications Radiographic Image Interpretation, Computer-Assisted Methods Image Retrieval Methods Data Mining Methods Algorithms Evaluation Research Human ab: 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. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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