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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/11749
Title: Endoscopy video frame classification using edge-based information analysis
Authors: Nicharee Rangseekajee
Sukanya Phongsuphap
Mahidol University
Keywords: Computer Science;Medicine
Issue Date: 1-Dec-2011
Citation: Computing in Cardiology. Vol.38, (2011), 549-552
Abstract: Endoscopic surgery has brought about massive changes in cardiac and thoracic surgery. The therapeutic capabilities of endoscopy provide beneficial diagnosis and treatment for physician. Although, the endoscopic surgery shows a marked improvement in diagnosis and treatment, the endoscopy video still has some frames that contain no useful information. We need to distinguish the informative frames from the non-informative frames in order to utilize information from both of them for further operations for developing Computer Aided Diagnosis systems. This paper proposes a method based on edge information analysis to distinguish informative frames and non-informative frames by utilizing the Isolated Pixel Ratio Value (IPRV). The accuracy of the proposed method was remarkably higher than that of the other edge-based technique. Results indicate that the proposed method is an effective method for informative and non-informative thoracic endoscopy frame classification. © 2011 CCAL.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84859984672&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/11749
ISSN: 2325887X
23258861
Appears in Collections:Scopus 2011-2015

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