NDLI: Color eigen-subband features for endoscopy image classification

Content Provider	IEEE Xplore Digital Library
Author	Kwitt, R. Uhl, A.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Salzburg, Salzburg (Kwitt, R.; Uhl, A.)
Abstract	This paper presents a new image feature extraction approach in the wavelet domain. We incorporate color-channel information of the LAB color space into the feature extraction process by computing variances from decorrelated detail subbands of the stationary wavelet transform. We evaluate our approach on a medical image classification problem using a k-nearest neighbor classifier and sequential forward feature selection. our experimental results, which include a comparative study to the popular color wavelet energy correlation signatures show that we can produce highly discriminative feature sets in terms of leave-one-out classification accuracy.
Starting Page	589
Ending Page	592
File Size	584234
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4517678
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Endoscopes Image classification Cancer Discrete wavelet transforms Feature extraction Wavelet domain Wavelet transforms Statistics Colonic polyps Colon Pattern classification Wavelet Transforms Biomedical Image Processing
Content Type	Text
Resource Type	Article

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Color eigen-subband features for endoscopy image classification