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The detection of hydrophobicity is an important way to
evaluate the performance of composite insulators, which is helpful to the safe
operation of composite insulators. Image processing technology is used to judge
the hydrophobicity of composite insulators, which makes detection results more accurate
and overcomes the subjective drawbacks of traditional detection methods. As the traditional Canny operator requires manual
intervention in selecting the variance of the Gaussian filter and the threshold, the
paper presents a method of edge detection based on improved Canny operator.
First, the adaptive median filter replaces the Gaussian filter, which can
eliminate the impact from the variance of Gaussian filter and remove noise
according to the characteristics of the image itself. Then the Ostu threshold
method is used to select the best threshold automatically, which makes the edge
detection be more continuous and reduce the presence of fake edges. The results
show that the operator is applicable to all hydrophobic images.