Research on Infrared Image Segmentation Method for Electrical Equipment
Yanhua Lei, Yan Bao, Chen Li, Hongtao Yu
Available Online February 2017.
- https://doi.org/10.2991/emcm-16.2017.264How to use a DOI?
- Infrared image segmentation; Electric equipment; GAC model; Image Preprocessing; Wavelet Transform
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/emcm-16.2017.264 DO - https://doi.org/10.2991/emcm-16.2017.264 ID - Lei2017/02 ER -