{"title":"A video-frame based registration using segmentation and graph connectivity for Wireless Capsule Endoscopy","authors":"A. Karargyris, N. Bourbakis","doi":"10.1109/LISSA.2009.4906713","DOIUrl":null,"url":null,"abstract":"Gastroenterologists using Wireless Capsule Endoscopy (WCE) extract valuable information regarding the health condition of the intestine. WCE produces, however, near 50,000 frames that have to be examined. In this paper a registration methodology is presented to reduce the amount of frames, which are the same or similar. It utilizes a segmentation scheme and a graph method to register similar regions in two consecutive frames. In addition our methodology offers a degree of similarity between two frames using a confidence function of similarity, in order to discard extremely dissimilar frames and thus set a mark of a new series of frames. Finally, a useful feature called Center of Image Similarity is also presented. Illustrative results from the methodology are also given in this paper.","PeriodicalId":285171,"journal":{"name":"2009 IEEE/NIH Life Science Systems and Applications Workshop","volume":"9 Balneol Climatol Sect 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE/NIH Life Science Systems and Applications Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISSA.2009.4906713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
Gastroenterologists using Wireless Capsule Endoscopy (WCE) extract valuable information regarding the health condition of the intestine. WCE produces, however, near 50,000 frames that have to be examined. In this paper a registration methodology is presented to reduce the amount of frames, which are the same or similar. It utilizes a segmentation scheme and a graph method to register similar regions in two consecutive frames. In addition our methodology offers a degree of similarity between two frames using a confidence function of similarity, in order to discard extremely dissimilar frames and thus set a mark of a new series of frames. Finally, a useful feature called Center of Image Similarity is also presented. Illustrative results from the methodology are also given in this paper.