Morphological Grayscale Reconstruction: Definition, Efficient Algorithm and Applications in Image Analysis
Abstract
Gray-scale reconstruction is formally defined for discrete images. A brief summary of the existing techniques to compute it is provided, and a hybrid algorithm that is an order of magnitude faster than any other algorithm is introduced. Some of its application to image filtering and segmentation are listed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Vincent. "Morphological Grayscale Reconstruction: Definition, Efficient Algorithm and Applications in Image Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223122Markdown
[Vincent. "Morphological Grayscale Reconstruction: Definition, Efficient Algorithm and Applications in Image Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/vincent1992cvpr-morphological/) doi:10.1109/CVPR.1992.223122BibTeX
@inproceedings{vincent1992cvpr-morphological,
title = {{Morphological Grayscale Reconstruction: Definition, Efficient Algorithm and Applications in Image Analysis}},
author = {Vincent, Luc},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1992},
pages = {633-635},
doi = {10.1109/CVPR.1992.223122},
url = {https://mlanthology.org/cvpr/1992/vincent1992cvpr-morphological/}
}