DIGITAL IMAGING DETECTION AND IMAGE ANALYSIS OF INTERNAL STRUCTURAL DEFECTS IN GIS
H. Tan, L. Li, G. Wu, Q. Wang
State Grid Chongqing Electric Power Research Institute, Chongqing, China
Keywords: закрытый газовый смеситель, регистрация цифровых изображений, подавление шума на рентгенограммах, повышение качества изображения, gas insulated combination, digital imaging detection, X-ray, image denoising, image enhancement
Abstract
The existence of internal structural defects in Gas Insulated Combination (GIS) seriously affects the normal operation of equipment, and it needs an efficient and non-destructive detection method. This study is focused on the feasibility of X-ray digital imaging detection in GIS equipment monitoring. First, the digital imaging detection process is briefly introduced. Then, in order to obtain high-quality digital images, a correlation coefficient is introduced to improve the nonlocal mean filtering denoising algorithm. In terms of image enhancement, a histogram equalization method is introduced, and then an improved contrast-limited adaptive histogram equalization (CLAHE) method is proposed for image denoising. The detection system and image processing method of this study are used to detect two GIS equipment units of the Chongqing Electric Power Company. It is found that this method clearly and accurately detects the equipment defects and proved its reliability. This study provides some theoretical basis for the further promotion of the X-ray DR technology in GIS equipment defect detection.
|
