Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation
Abstract
We propose a method of extracting and describing the shape of features from medical images which provides both a skeleton and boundary representation. This method does not require complete closed boundaries nor regularly sampled edge points. Lines between edge points are connected into boundary sections using a measure of proximity. Alternatively, or in addition, known connectivity between points (such as that available from traditional edge detectors) can be incorporated if known. The resultant descriptions are objectcentred and hierarchical in nature with an unambiguous mapping between skeleton and boundary sections.
Cite
Text
Robinson et al. "Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_81Markdown
[Robinson et al. "Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/robinson1992eccv-integrated/) doi:10.1007/3-540-55426-2_81BibTeX
@inproceedings{robinson1992eccv-integrated,
title = {{Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation}},
author = {Robinson, Glynn P. and Colchester, Alan C. F. and Griffin, Lewis D. and Hawkes, David J.},
booktitle = {European Conference on Computer Vision},
year = {1992},
pages = {725-729},
doi = {10.1007/3-540-55426-2_81},
url = {https://mlanthology.org/eccv/1992/robinson1992eccv-integrated/}
}