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Composite Insulator Identification Method Based on Multi-feature

 Identifying and locating composite insulator automatically is the most important premise for composite insulator washing robot replacing the manual washing in the railway substation. After the analysis of the existing recognition methods, a new identification method is proposed, which used the gray level, shape feature and texture of the composite insulator to identify the composite insulator image. 

First, threshold segmentation and morphological operation is used to separate the possible regional of composite insulators.
Then according to the shape feature of composite insulators, the possible regional of composite insulators is filtered. 
Finally, gray level co-occurrence matrix (GLCM) is used to extract the texture characteristics from each area, and determine the right regional of the composite insulators. The experimental verification shows that the method can identify and locate the composite insulator correctly, provide information for composite insulator washing. 
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