The hydrophobic condition of composite insulators has an important influence on the security and stability of power system.In order to identify hydrophobicity of composite insulators accurately,fast and conveniently,with the tools of MATLAB image processing and GUI developing composite insulators hydrophobicity analysis software.The software was developed using a modular thinking,the establishment of image processing,the amount of drops of water feature extraction,hydrophobicity detection methods and database management modules.The improved Canny operator was used for image segmentation,extraction characteristics of water drop (or water stains),finally the improved RBF neural network was used to analyse the insulators hydrophobicity grade.The results of experiment show that the software was able to identify insulators hydrophobicity grade accurately and objectively and its accurate recognition rate is as high as 92%.The software can avoid the influence of artificial factors,improve the work efficiency and provide data support and reference for field operation personnel.