Corona is one of important reasons of electrical energy loss in the electric power. According to incomplete statistics,
corona loss electrical energy has achieved two thousands and fifty millions kW.h in our nation every year. Sometimes
corona also can have some disturbance to radio and communication. Therefore to discover and examine corona promptly
has the extremely vital significance for conserving energy and realizing high quality communication. Ultraviolet image
detecting technology is a preferred corona detection method in electric power. It may realize all-weather reliable survey
to corona. The solar blind ultraviolet signal discharged by corona is quite weak. Moreover the ultraviolet image quality
has been affected seriously by the detection system noise. A corona solar blind ultraviolet image processing method is
proposed in this paper. Ultraviolet image has so small target, low contrast image, district characteristic and real-time
demand that it is processed by multi-scale ultraviolet morphology filter technology based on mathematics morphology in
this paper. Results show that the method can stretch image contrast, enhance target and weaken noise. The algorithm is
easy to deal in parallel and it can be realized easily by hardware. It will be accurately demarcated when the condition of
device need to be absolutely measured. The paper proposes a kind of mathematics morphology algorithm. Solar blind
ultraviolet image will be further processed according to temperature and humidity in order to remove the infection of
corona discharge demarcation and solve correct demarcation question when equipment condition need to be absolutely
measured.
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