Object Detection Using Contrast Based Scale-Space

Abstract

The authors propose four scale-space object detection algorithms for separating objects from the background. These algorithms do not need thresholding at any of the scales. The different algorithms are applicable to images with different noise and clutter characteristics. Statistical analysis of the four algorithms is conducted for noisy and cluttered backgrounds.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Topkar et al. "Object Detection Using Contrast Based Scale-Space." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139788

Markdown

[Topkar et al. "Object Detection Using Contrast Based Scale-Space." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/topkar1991cvpr-object/) doi:10.1109/CVPR.1991.139788

BibTeX

@inproceedings{topkar1991cvpr-object,
  title     = {{Object Detection Using Contrast Based Scale-Space}},
  author    = {Topkar, Vijaykumar A. and Sood, Arun K. and Kjell, B.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {700-701},
  doi       = {10.1109/CVPR.1991.139788},
  url       = {https://mlanthology.org/cvpr/1991/topkar1991cvpr-object/}
}