Morphological Filtering of UV Images in Smart Grid
Wen Ting Yu, Qiqi Mao, Hong Yan Wen · 2014
In recent years, Smart Grid has been a research focus in the world. In Smart Grid environment, real-time observation on the corona discharge in high voltage electrical equipment through the UV imaging technology helps processing images, analyzing and warning the insulation defects in order to find the fault and deal with the defect in early time and guarantee the power system working normally. It’s a systematic project to process the images. Morphology in image segmentation is studied and used to part off the corona discharge area, warning and analyzing through the equipment automatically to solve the problems about transmission lines in the odious environment which are hard for manual work. Thereby, guiding significance about maintain the power system is reached and automatic maintenance in Smart Grid is supported.