A New Algorithm of Automatic Image Segmentation Based on PCNN

DOI

10.2991/itoec-16.2016.55How to use a DOI?

Keywords

pulse coupled neural network; image segmentation; parameter adaptive setting

Abstract

Pulse coupled neural network (PCNN) has a difficult problem to determine the parameters, mainly based on artificial experience. We propose an automatic image segmentation method based on PCNN, which is combining with dynamic threshold and global threshold, reducing manual intervention, realizes the adaptive parameter setting. Finally, the experimental segmentation result of lots of gray images show that the method proposed in this paper can not only achieve automatic image segmentation, but also has strong adaptability.

Copyright

© 2016, 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  - Fan Bin-wen
AU  - Wu Wei
PY  - 2016/05
DA  - 2016/05
TI  - A New Algorithm of Automatic Image Segmentation Based on PCNN
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 295
EP  - 298
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.55
DO  - 10.2991/itoec-16.2016.55
ID  - Bin-wen2016/05
ER  -