VQ Classification based on MPEG-7 visual descriptors for video endoscopic capsule localization in the gastrointestinal tract

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. Novelty of the pre...

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Bibliographic Details
Published in2007 15th European Signal Processing Conference pp. 1397 - 1401
Main Authors Duda, K., Zielinski, T., Duplaga, M., Grega, M., Leszczuk, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Endoscopes
Image color analysis
Motion pictures
Principal component analysis
Signal processing algorithms
Transform coding
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Summary: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. Novelty of the presented approach consists in joint application of vector quantization technique to finding representative codebooks of MPEG-7 features for different parts of GI tract and Principal Component Analysis for reduction of feature vectors' dimensions. In this initial research recognition of the upper (esophagus, stomach, duodendum) and the lower (colon) part of the GI tract has been performed. It has turned out that using the Homogenous Texture (HT) descriptor offers about 95% classification accuracy.
ISBN:8392134044
9788392134046