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">></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.1991.139788Markdown
[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.1991.139788BibTeX
@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/}
}