A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis

Liping Yang, Diane Oyen, Brendt Wohlberg; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0

Abstract


Skeletonization, also called thinning, is an important pre-processing step in computer vision and image processing tasks such as shape analysis and vectorization. It is a morphological process that generates a skeleton from an input image. Many thinning algorithms have been proposed, but accurate and fast algorithms are still in demand. In this paper, we propose a novel algorithm using embedded topological graphs and computational geometry that can extract skeletons from input binary images. We compare three well-known thinning algorithms with our method, with the experimental results showing effectiveness of the proposed method and algorithms.

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[bibtex]
@InProceedings{Yang_2019_CVPR_Workshops,
author = {Yang, Liping and Oyen, Diane and Wohlberg, Brendt},
title = {A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}