ML Anthology

A Multi-Channel Algorithm for Edge Detection Under Varying Lighting

Wei Xu, Michael Jenkin, Yves Lespérance
CVPR 2006 pp. 1885-1892
doi:10.1109/CVPR.2006.33 /cvpr/2006/xu2006cvpr-multi/

Abstract

In vision-based autonomous spacecraft docking multiple views of scene structure captured with the same camera and scene geometry is available under different lighting conditions. These "multiple-exposure" images must be processed to localize visual features to compute the pose of the target object. This paper describes a robust multi-channel edge detection algorithm that localizes the structure of the target object from the local gradient distribution computed over these multiple-exposure images. This approach reduces the effect of the illumination variation including the effect of shadow edges over the use of a single image. Experiments demonstrate that this approach has a lower false detection rate than the average response of the Canny edge detector applied to the individual images separately.

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Cite

Text

Xu et al. "A Multi-Channel Algorithm for Edge Detection Under Varying Lighting." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.33

Markdown

[Xu et al. "A Multi-Channel Algorithm for Edge Detection Under Varying Lighting." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/xu2006cvpr-multi/) doi:10.1109/CVPR.2006.33

BibTeX

@inproceedings{xu2006cvpr-multi,
  title     = {{A Multi-Channel Algorithm for Edge Detection Under Varying Lighting}},
  author    = {Xu, Wei and Jenkin, Michael and Lespérance, Yves},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {1885-1892},
  doi       = {10.1109/CVPR.2006.33},
  url       = {https://mlanthology.org/cvpr/2006/xu2006cvpr-multi/}
}