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Pattern Analysis and Applications

01-12-2009 | Theoretical Advances

Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images

Published in: Pattern Analysis and Applications | Issue 4/2009

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Abstract

In this article, we discuss the discriminative power of a set of image features, extracted from detail subbands of the Gabor wavelet transform and the dual-tree complex wavelet transform for the purpose of computer-assisted zoom-endoscopy image classification. We incorporate color channel information into the classification process and show that this leads to superior classification results, compared to luminance-channel-only-based image analysis.

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Footnotes
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Metadata
Title
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images
Publication date
01-12-2009
Published in
Pattern Analysis and Applications / Issue 4/2009
Print ISSN: 1433-7541
Electronic ISSN: 1433-755X
DOI
https://doi.org/10.1007/s10044-008-0136-8

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