NDLI: Localization of Endoscopic Capsule in the GI Tract Based on MPEG-7 Visual Descriptors

Content Provider	IEEE Xplore Digital Library
Author	Duda, K. Zielinski, T. Fraczek, R. Bulat, J. Duplaga, M.
Copyright Year	2007
Description	Author affiliation: AGH Univ. of Sci. & Technol., Krakow (Duda, K.; Zielinski, T.; Fraczek, R.; Bulat, J.)
Abstract	The paper addresses the problem of localization of video endoscopic capsule in the gastrointestinal (GI) tract on the base of appropriate classification of images received from it. In this context usefulness of MPEG-7 image descriptors as classification features has been verified. For classification purpose various state of the art tools were used including Neural Networks and Vector Quantization. The dimension of the problem was also reduced by the Principal Component Analysis. Novelty of the presented approach consists in joint application of mentioned above techniques for recognition of the GI region inspected by the capsule by means of classification of MPEG-7 features to different parts of GI tract. In this research recognition of the upper part organs of the GI tract has been performed.
Starting Page	1
Ending Page	4
File Size	1680622
Page Count	4
File Format	PDF
ISBN	1424409640
DOI	10.1109/IST.2007.379580
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-05
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gastrointestinal tract MPEG 7 Standard Principal component analysis Biomedical imaging Medical diagnostic imaging Endoscopes Vector quantization Video recording Image resolution Neural networks Principal Component Analysis endoscopic capsule gastrointestinal (GI) tract MPEG-7 image descriptors Vector Quantization
Content Type	Text
Resource Type	Article

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