Rotation invariant texture classification with ridgelet transform and fourier transform

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2141-2144

  Huang, Ke ^a   Aviyente, Selin ^a  

^a Michigan State University   (United States)

Author keywords

Image classification; Image texture analysis; Wavelet transforms

Indexed keywords

IMAGE ROTATION; IMAGE TEXTURE ANALYSIS; RIDGELET TRANSFORMS; RIDGELETS; ROTATED IMAGES; ROTATION ANGLES; ROTATION INVARIANCE; ROTATION INVARIANT; ROTATION INVARIANT FEATURES; TEXTURE CLASSIFICATION; WAVELET FEATURES;

IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGING SYSTEMS; ROTATION; TEXTURES; WAVELET TRANSFORMS;

FOURIER TRANSFORMS;

EID: 56749091680     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312867     Document Type: Conference Paper

References (6)

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3. C. Pun and M. Lee, "Log-polar wavelet energy signature for rotation and scale invariant texture classification," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 5, pp. 590-603, 2003.
4. M.N. Do and M. Vetterli, "Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden markov models," IEEE Trans. on Multimedia, vol. 4, no. 4, pp. 517-527, 2002.
5. J. Starck, E.J. Candes, and D.L. Donoho, "The curvelet transform for image denoising," IEEE Trans. on Signal Processing, vol. 11, no. 6, pp. 670-684, 2002.
6. Brodatz Texture Database [available online], "http://sipi.usc.edu/ database/,".