Segmentation Algorithm of Hydrophobic Image Based on Improved Canny Operator[J]. High voltageapparatus, 2014, 50(1): 97-101. DOI: 10.13296/j.1001-1609.hva.2014.01.018.
Segmentation Algorithm of Hydrophobic Image Based on Improved Canny Operator
Hydrophobicity measurement is a vital way to evaluate the performance of insulators
which is important for safe operation of an electric power system. However
the traditional segmentation algorithm is unsatisfactory in classification accuracy of hydrophobicity. Therefore
a hydrophobic image segmentation algorithm based on the improved Canny operator is proposed in this paper. Considering the complexity of hydrophobic image
the image is enhanced by adaptive histogram equalization
then the improved Canny operator is used to extract the edge of water drops(or water marks). Finally
some methods in mathematical morphology
such as region filling
expansion
corrosion and removing
are used to process the image. Experiments show that the proposed segmentation algorithm is suitable for all kinds of hydrophobic images
and it may provide a criterion for hydrophobicity grade of an insulator.