Research on Infrared Image Segmentation Method for Electrical Equipment

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.