Multiscale texture classification using dual-tree complex wavelet transform

@article{elik2009MultiscaleTC,
  title={Multiscale texture classification using dual-tree complex wavelet transform},
  author={Turgay Çelik and Tardi Tjahjadi},
  journal={Pattern Recognition Letters},
  year={2009},
  volume={30},
  pages={331-339}
}
This paper presents a multiscale texture classifier that exploits the Gabor-like properties of the dual-tree complex wavelet transform, shift invariance and six directional subbands at each scale, and uses a feature vector comprising of a variance and an entropy at different scales of each of the directional subbands. Experimental results demonstrate its robustness against noise and a higher classification accuracy than a discrete wavelet transform based classifier. 

Results and Topics from this paper.

Key Quantitative Results

  • The proposed texture classifier achieves an average correct classification rate of 100% and an average false classification rate of 0% for S = 3 on two sets of texture samples of varying complexities and a hybrid test set.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
SHOWING 1-10 OF 55 CITATIONS, ESTIMATED 85% COVERAGE

Quaternionic wavelets for texture classification

VIEW 13 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Bayesian texture classification and retrieval based on multiscale feature vector

  • Pattern Recognition Letters
  • 2011
VIEW 10 EXCERPTS
CITES METHODS & BACKGROUND

A Multi-Resolution Texture Image Retrieval Using Fast Fourier Transform

VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Complex wavelet as nucleus descriptors for automated cancer cytology classifier system using ANN

  • 2010 IEEE International Conference on Computational Intelligence and Computing Research
  • 2010
VIEW 8 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

A content-based image retrieval system based on Color Ton Distribution descriptors

  • Signal, Image and Video Processing
  • 2015
VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2009
2019

CITATION STATISTICS

  • 10 Highly Influenced Citations

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES