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Endoscopic Videos Deinterlacing and On-Screen Text and Light Flashes Removal and Its Influence on Image Analysis Algorithms' Efficiency
Abstract
In this article, deinterlacing and removing on- screen text and light flashes methods on endoscopic video images are discussed. The research is intended to improve disease recognition algorithms' performance. In the article, four configurations of deinterlacing methods and another four configurations of text and flashes removal methods are described and examined. The efficiency of endoscopic video analysis algorithms is measured with and without applying the methods to endoscopic image samples used for training and testing. At the end, disease recognition algorithms' performance at whole endoscopic videos processing is compared and discussed.
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
International Journal of Image Processing and Visual Communication
no. 2,
edition 1,
pages 1 - 5,
ISSN: 2319-1724 - Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Cychnerski J., Blokus A., Brzeski A.: Endoscopic Videos Deinterlacing and On-Screen Text and Light Flashes Removal and Its Influence on Image Analysis Algorithms' Efficiency// International Journal of Image Processing and Visual Communication. -Vol. 2., iss. 1 (2013), s.1-5
- Verified by:
- Gdańsk University of Technology
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