An Adaptive Image Segmentation Method Based on the Level Set

DOI

10.2991/meita-15.2015.90How to use a DOI?

Keywords

Uneven information; Global segmentation; Fitting Information; Image segmentation

Abstract

An adaptive gray value of image segmentation method aimed at uneven gray-level image segmentation was proposed. The innovative method combined target image with the gray value of background information according to level set theory with the adaptive linear fitting of global and local information. And then, image segmentation was conducted to avoid being trapped in the local optimum. The experimental results showed that the proposed method could resist noise effectively with the capacity of adaptive image uneven gray level information. As a result, The global optimal image segmentation was obtained. Theoretical analysis suggested that the proposed method not only can be used to cut up the real image but also can be well applied to MRI segmentation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Aili Zhang
AU  - Sijia Li
AU  - Tuanning Liu
AU  - Zhiyong Li
AU  - Yu Zhang
PY  - 2015/08
DA  - 2015/08
TI  - An Adaptive Image Segmentation Method Based on the Level Set
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 496
EP  - 502
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.90
DO  - 10.2991/meita-15.2015.90
ID  - Zhang2015/08
ER  -