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article · Computer Engineering and Applications Journal · 2007

Stationary wavelet transform for affine invariant image object recognition

Xiaobo Zhang

Cited by 1Abstract and details only

Abstract

It’s a key problem to search for affine invariant with respect to translation,scaling,rotation and skewing in multiresolution analysis.Based on affine invariants defined in reference[4],a new affine invariant based on stationary wavelet transform is constructed in this paper.After the analysis of the invariants,their limitation is pointed out and a new kind of absolute affine invariants is defined.Both experimental results and analysis show that the new invariants can be easily applied to image recognition.

Cite this paper

APA 7

Zhang, X. (2007). Stationary wavelet transform for affine invariant image object recognition. Computer Engineering and Applications Journal.

MLA 9

Zhang, Xiaobo. “Stationary wavelet transform for affine invariant image object recognition.” Computer Engineering and Applications Journal, 2007.

Chicago

Zhang, Xiaobo. 2007. “Stationary wavelet transform for affine invariant image object recognition.” Computer Engineering and Applications Journal.

Harvard

Zhang, X. (2007) ‘Stationary wavelet transform for affine invariant image object recognition’, Computer Engineering and Applications Journal.

BibTeX
@article{zhang2007stationary,
  title = {{Stationary wavelet transform for affine invariant image object recognition}},
  author = {Zhang, Xiaobo},
  journal = {Computer Engineering and Applications Journal},
  year = {2007}
}

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