Color eigen-subband features for endoscopy image classification

  title={Color eigen-subband features for endoscopy image classification},
  author={Roland Kwitt and Andreas Uhl},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
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… CONTINUE READING
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Color Image Processing - Methods and Applications

  • R. Lukac, K. N. Plataniotis
  • CRC Press
  • 2007
Highly Influential
6 Excerpts


  • M. Häfner
  • Kendlbacher, W. Mann, W. Taferl, F. Wrba, A…
  • 2006
1 Excerpt


  • C. Palm, V. Metzler
  • Mohan O. Dieker, T.M. Lehmann, and K. Spitzer…
  • 1999
1 Excerpt

Carfantan, “Time invariant orthonormal wavelet representations,

  • J. C. Pesquet, H. Krim
  • IEEE Transactions on Signal Processing,
  • 1996

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