Solar blind ultraviolet imaging is a new method for detecting discharge of high voltage equipment visually.In order to analyze the discharge quantitatively

this study employs OpenCV image processing functions to deal with the UV images with digital image processing technology

hence the related parameters of the discharge area are extracted.The principle of corresponding digital image processing algorithms and the use of related functions in OpenCV are introduced.OpenCV is used to deal with the UV discharge image in terms of image graying

binarization

noise cancellation and contour extraction

so the extraction of discharge parameters

such as spot area and perimeter

are achieved.At last

contrast test is conducted to obtain the positive correlation between ultraviolet imaging spot area and discharge capacity

verifying the rationality of the OpenCV based ultraviolet detection method.In addition

this study also reveals that the UV discharge spot area and observation distance compose an approximate power function.This study may provide a new method for quantitatively analyzing the discharge strength of high voltage electrical equipment.