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Invariant Features of Local Texturesa Rotation Invariant Local Texture Descriptor

Pranam Janney, Zhenghua Yu
CVPR 2007
doi:10.1109/CVPR.2007.383367 /cvpr/2007/janney2007cvpr-invariant/

Abstract

In this paper, we present a new rotation-invariant texture descriptor algorithm called invariant features of local textures (IFLT). The proposed algorithm extracts rotation invariant features from a small neighbourhood of pixels around a centre pixel or a texture patch. Intensity vector which is derived from a texture patch is normalized and Haar wavelet filtered to derive rotation-invariant features. Texture classification experiments on the Brodatz album and Outex databases have shown that the proposed algorithm has a high rate of correct classification.

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Cite

Text

Janney and Yu. "Invariant Features of Local Texturesa Rotation Invariant Local Texture Descriptor." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383367

Markdown

[Janney and Yu. "Invariant Features of Local Texturesa Rotation Invariant Local Texture Descriptor." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/janney2007cvpr-invariant/) doi:10.1109/CVPR.2007.383367

BibTeX

@inproceedings{janney2007cvpr-invariant,
  title     = {{Invariant Features of Local Texturesa Rotation Invariant Local Texture Descriptor}},
  author    = {Janney, Pranam and Yu, Zhenghua},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383367},
  url       = {https://mlanthology.org/cvpr/2007/janney2007cvpr-invariant/}
}