Abstract

The effect of image segmentation is directly affected by the selection of image dependent weight coefficient and the edge stopping function in the traditional method of adaptive distance preserving level set evolution. For its shortage, a novel adaptive varying stopping function Region-based is designed. The algorithm improves image dependent weight coefficient and designs a region-based method of adaptive distance preserving level set evolution. Experimental results show that the method effectively solves the problem that the level set cannot continue to evolve in equal area for gray value and inaccurate segmentation of target due to dramatic change of image gradient reduces noise sensitivity for model and improves robustness of the algorithm.

Keywords:

Adaptive varying edge stopping function, distance preserving level set method, geometric active contour mode, image dependent weight coefficient, image segmentation, level set method,

References

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.