Segmentation Using Meta-Texture Saliency

Yacoob, Yaser; Davis, Larry S.

doi:10.1109/ICCV.2007.4408930

Segmentation Using Meta-Texture Saliency

Yaser Yacoob, Larry S. Davis

ICCV 2007 pp. 1-8

doi:10.1109/ICCV.2007.4408930 /iccv/2007/yacoob2007iccv-segmentation/

Abstract

We address segmentation of an image into patches that have an underlying salient surface-roughness. Three intrinsic images are derived: reflectance, shading and meta- texture images. A constructive approach is proposed for computing a meta-texture image by preserving, equalizing and enhancing the underlying surface-roughness across color, brightness and illumination variations. We evaluate the performance on sample images and illustrate quantitatively that different patches of the same material, in an image, are normalized in their statistics despite variations in color, brightness and illumination. Finally, segmentation by line-based boundary-detection is proposed and results are provided and compared to known algorithms.

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Cite

Text

Yacoob and Davis. "Segmentation Using Meta-Texture Saliency." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4408930

Markdown

[Yacoob and Davis. "Segmentation Using Meta-Texture Saliency." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/yacoob2007iccv-segmentation/) doi:10.1109/ICCV.2007.4408930

BibTeX

@inproceedings{yacoob2007iccv-segmentation,
  title     = {{Segmentation Using Meta-Texture Saliency}},
  author    = {Yacoob, Yaser and Davis, Larry S.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2007},
  pages     = {1-8},
  doi       = {10.1109/ICCV.2007.4408930},
  url       = {https://mlanthology.org/iccv/2007/yacoob2007iccv-segmentation/}
}