Publication: Endoscopy video frame classification using edge-based information analysis
2
Issued Date
2011-12-01
Resource Type
ISSN
2325887X
23258861
23258861
Other identifier(s)
2-s2.0-84859984672
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Mahidol University
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SCOPUS
Bibliographic Citation
Computing in Cardiology. Vol.38, (2011), 549-552
Suggested Citation
Nicharee Rangseekajee, Sukanya Phongsuphap Endoscopy video frame classification using edge-based information analysis. Computing in Cardiology. Vol.38, (2011), 549-552. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/11749
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Title
Endoscopy video frame classification using edge-based information analysis
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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.