Partition Method of Infrared Image Using Otsu Algorithm and Morphology

DOI

10.2991/csic-15.2015.52How to use a DOI?

Keywords

Infrared image, Image segmentation, Maximum between-cluster variance, Morphology

Abstract

Infrared image segmentation is the basis of the infrared target detection identification. The key point of image threshold segmentation algorithm to realize the effective segmentation of the target and background is choosing appropriate and accurate threshold. This paper studies the current commonly used infrared image threshold segmentation method, proposes the image segmentation method combined with morphology based on the analysis of the segmentation results of maximum between-cluster variance algorithm (Otsu method). The algorithm simulation experiment is also carried out in this paper according to different situations of different target. The shape of the image segmentation result is basically intact, which has made up for the details of target and segmented the target.

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  - Mingkai Yue
AU  - Jiahao Deng
PY  - 2015/07
DA  - 2015/07
TI  - Partition Method of Infrared Image Using Otsu Algorithm and Morphology
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 217
EP  - 220
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.52
DO  - 10.2991/csic-15.2015.52
ID  - Yue2015/07
ER  -