Constrained Contouring in Polar Coordinates
Abstract
A constrained contour is an outline of a region of interest, obtained by linking the possible edge points under the constraints of connectivity, smoothness, image context, and an externally specified approximate contour. A constrained contouring algorithm in polar coordinates that traces closed contours using their rough approximations is discussed. A set of locally optimal contour locations (LOCLs) is found in all the selected radial directions by analyzing the image features and the external constraints. A graph search based algorithm is used to select a smooth contour that passes through the maximum number of LOCLs.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Revankar and Sher. "Constrained Contouring in Polar Coordinates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341026Markdown
[Revankar and Sher. "Constrained Contouring in Polar Coordinates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/revankar1993cvpr-constrained/) doi:10.1109/CVPR.1993.341026BibTeX
@inproceedings{revankar1993cvpr-constrained,
title = {{Constrained Contouring in Polar Coordinates}},
author = {Revankar, Shriram V. and Sher, David B.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1993},
pages = {688-689},
doi = {10.1109/CVPR.1993.341026},
url = {https://mlanthology.org/cvpr/1993/revankar1993cvpr-constrained/}
}