Rapid Search for Spherical Objects in Aerial Photographs

Abstract

This paper describes a method for detecting and segmenting spherical features using the gradient angle transform. An analysis of the gradient angle for ideal spheres is presented, with a discussional of how this may be used to locate the boundaries of the sphere. The algorithms used by a program which detects and segments spherical features are then presented. The results of applying the programs to images with naturally-occurring spherical features are given.

Cite

Text

Cox et al. "Rapid Search for Spherical Objects in Aerial Photographs." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196340

Markdown

[Cox et al. "Rapid Search for Spherical Objects in Aerial Photographs." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/cox1988cvpr-rapid/) doi:10.1109/CVPR.1988.196340

BibTeX

@inproceedings{cox1988cvpr-rapid,
  title     = {{Rapid Search for Spherical Objects in Aerial Photographs}},
  author    = {Cox, Kenneth C. and Roman, Gruia-Catalin and Ball, William E. and Laine, Andrew F.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {905-910},
  doi       = {10.1109/CVPR.1988.196340},
  url       = {https://mlanthology.org/cvpr/1988/cox1988cvpr-rapid/}
}