2015 | OriginalPaper | Chapter
Colonic Polyp Classification in High-Definition Video Using Complex Wavelet-Packets
Authors : M. Häfner, M. Liedlgruber, A. Uhl
Published in: Bildverarbeitung für die Medizin 2015
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this work, we extend different wavelet-packet based feature extraction methods to use the dual-tree complex wavelet transform. This way we aim at alleviating shortcomings of the different algorithms which stem from the use of the underlying discrete wavelet transform. The derived features are used to classify still-images extracted from HD colonoscopy videos to conduct poly staging. While some techniques cannot benefit from the extension to the dual-tree complex wavelet transform, other benefit in terms of classification accuracy.