Research On Image Edge Detecting Method Of Insulators Hydrophobicity |
Posted on:2009-01-01 | Degree:Master | Type:Thesis |
Country:China | Candidate:W T Dong | Full Text:PDF |
GTID:2178360275950344 | Subject:Communication and Information System |
Abstract/Summary: | PDF Full Text Request |
Methods of image edge detecting based on hydrophobic of insulators are researched in this paper.According to the characters of the hydrophobic image,two image processing methods are proposed and examined by experiments:the edge-detecting algorithm combined fuzzy membership functions of GAP and relative entropy coefficient classifier which effectively deals with the problems of completing the water drop' s missing boundary in the opposite side of shadow and is efficient to extract shape information of droplets(or watermarks).The algorithm based on effective average membership is efficient to distinguish the real water drop boundary from the spark pot and shadow edge. The ability of de-noising and extracting edge-information is primly enhanced.The effect of this method is well and it has certain application foreground. |
Keywords/Search Tags: | fuzzy membership functions, GAP, relative entropy, hydrophobic, effective average membership |
PDF Full Text Request |
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