ML Anthology

Edge Detection Through Residual Analysis

David Lee, Theo Pavlidis, Kai Huang
CVPR 1988 pp. 215-222
doi:10.1109/CVPR.1988.196239 /cvpr/1988/lee1988cvpr-edge/

Abstract

The authors provide theoretical justification for the use of zero crossings of residuals (between a filtered image and the original) for edge detection. The smoothed version is obtained by bilinear interpolation as a result of two-dimensional discrete regularization of subsampled images. The method is also applicable to smoothed images obtained by convolution with a Gaussian. Examples of applications of the method are shown for three kinds of pictures: aerial photographs, low-quality pictures of tools, and a high-quality picture of a face. The same parameters are used in all the examples. In addition they show examples of the results of one of the Canny edge detectors on the same pictures.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Lee et al. "Edge Detection Through Residual Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196239

Markdown

[Lee et al. "Edge Detection Through Residual Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/lee1988cvpr-edge/) doi:10.1109/CVPR.1988.196239

BibTeX

@inproceedings{lee1988cvpr-edge,
  title     = {{Edge Detection Through Residual Analysis}},
  author    = {Lee, David and Pavlidis, Theo and Huang, Kai},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {215-222},
  doi       = {10.1109/CVPR.1988.196239},
  url       = {https://mlanthology.org/cvpr/1988/lee1988cvpr-edge/}
}