Nonlinear Multiscale Filtering Using Mathematical Morphology
Abstract
A multiscale filtering scheme based on the three Matheron axioms for morphological openings is developed. It is shown that opening a signal with a gray scale operator does not introduce additional zero-crossings as one moves to coarser scales. Within this framework, the problem of choosing an appropriate structuring element is studied. In order to obtain a measure of the performance of different structuring elements, the statistical properties of gray scale opening are studied, using a powerful tool in mathematical morphology, namely, basis functions.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Morales and Acharya. "Nonlinear Multiscale Filtering Using Mathematical Morphology." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223133Markdown
[Morales and Acharya. "Nonlinear Multiscale Filtering Using Mathematical Morphology." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/morales1992cvpr-nonlinear/) doi:10.1109/CVPR.1992.223133BibTeX
@inproceedings{morales1992cvpr-nonlinear,
title = {{Nonlinear Multiscale Filtering Using Mathematical Morphology}},
author = {Morales, Aldo W. and Acharya, Raj},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1992},
pages = {572-578},
doi = {10.1109/CVPR.1992.223133},
url = {https://mlanthology.org/cvpr/1992/morales1992cvpr-nonlinear/}
}