Watershed distribution equipment infrared thermal image segmentation method based on the morphological marker

DOI

10.2991/ameii-16.2016.221How to use a DOI?

Keywords

infrared thermal image segmentation, watershed algorithm, morphological marker

Abstract

In the process of infrared thermal image segmentation of distribution equipment, efficiency of the segmentation is low; it is easy to appear the over-segmentation phenomenon and cannot better segment the anomaly region of infrared thermal. To solve this problem, starting from the basic principle of the watershed algorithm, an improved watershed algorithm based on morphological marker was proposed. Firstly, the algorithm operate morphological gradient for image to be segmented. Then it extracts the region minimum by using H-minima transform and use minima imposition technology to remark the gradient image. In the end, the marked gradient image was segmented by watershed algorithm. According to the experimental verification of MATLAB, this improved segmentation method has higher feasibility and can successfully extract anomaly region of the infrared thermal image.

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  - ZhiCheng Zhou
AU  - Xu Wei
AU  - Tianxi Xie
AU  - Zhong Tang
AU  - HaoYang Cui
PY  - 2016/04
DA  - 2016/04
TI  - Watershed distribution equipment infrared thermal image segmentation method based on the morphological marker
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 1166
EP  - 1171
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.221
DO  - 10.2991/ameii-16.2016.221
ID  - Zhou2016/04
ER  -