Research on Infrared Image Segmentation Method for Electrical Equipment

DOI

10.2991/emcm-16.2017.264How to use a DOI?

Keywords

Infrared image segmentation; Electric equipment; GAC model; Image Preprocessing; Wavelet Transform

Abstract

Infrared Thermography(IRT) plays a very important role in monitoring and inspecting thermal defects of electrical equipment without shutting down. This paper analyzes two methods on the infrared image gray pretreatment. According to the noise types and characteristics of the infrared image, this paper uses the denoising method that based on wavelet transform and mean filter, it effectively suppresses the image noise signal. Compared with the traditional segment method, the improved GAC model has no problem of image edge fracture while segmenting images. And the experiment indicates that the improved GAC model solves the problem that the GAC model always remains in the local minimum while segmenting images which lead to unsatisfactory or unsuccessful segmentation.

Copyright

© 2017, 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  - Yanhua Lei
AU  - Yan Bao
AU  - Chen Li
AU  - Hongtao Yu
PY  - 2017/02
DA  - 2017/02
TI  - Research on Infrared Image Segmentation Method for Electrical Equipment
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SP  - 560
EP  - 564
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.264
DO  - 10.2991/emcm-16.2017.264
ID  - Lei2017/02
ER  -