In order to solve the influence of image background

image contrast and clarity and other factors on the recognition of iced insulators.A general algorithm which can recognize and detect the ice-covered insulators accurately in a complex environment is put forward.By applying the coefficients characteristics of multi-scale harr wavelet transform combined with the morphological calculations and the inverse transform

the ice-covered insulator images under complex environment are processed are clarified.Then the calibrated clear image is processed using median filtering

thresholding choice

edge detection

tracking and compensation

and the ice-covered insulator images under artificial climate laboratory and field complex freezing rain environment are verified

then the thickness of the ice insulators of different freezing rain form are identified.The results show that

after the clarifying process

the definition of ice-covered insulator images under different weather condition are obviously improved

and the highest is haze days

up to 45%; its maximum relative error is only 4.8%

the lowest is only 1.5%; its detection rate is faster

even in the most adverse conditions is more than 7.06 m/s

which can realize the accurate recognition of the iced insulators.The results are fully showing the accuracy and real-time of the algorithm are better.