A Novel Scheme of Fault Detection in Transmission Line Using Image Processing

Abstract

This paper gives a scheme to find the fault or monitor the condition of transmission line using image processing. The technique of Digital Image Processing (DIP) and Wavelet Shrinkage Function (WSF) is used for fault detection and diagnosis. In other context, image of a transmission line is taken by the thermovision camera with the coordinates of transmission line, which are current, voltage, and temperature. The algorithm for image segmentation is used which divides the image into the set of part and objects. Application of WSF is done to read the image characteristics and standard deviation which gives the image quality where the fault occurs. This proposed method gives results in terms of visual quality and peak signal-to-noise ratio (PSNR).