In this paper, image processing technology was applied to measure the hydrophobicity of insulators．Through considering image intensity, changes of gray value, gradient value and degree value, image contrast enhancement, combined with Hausdorff distance(HD) and morphological algorithms were used to detect the edges of insulators．Finally, the modified shape factor algorithm was adopted to confirm the level of hydrophobicity．Experimental results show that the proposed algorithm is efficient to extract edge information of droplets (or watermarks) and obtain better performance than traditional methods．
唐良瑞, 张晶, 孙毅. 基于信息测度和Hausdorff距离的复合绝缘子憎水性等级判定[J]. 电工技术学报, 2009, 24(1): 35-41.
Tang Liangrui, Zhang Jing, Sun Yi. Estimating the Level of Hydrophobicity of Composite Insulators Based on Information Measures and Hausdorff Distance. Transactions of China Electrotechnical Society, 2009, 24(1): 35-41.
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