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As a variety of different types of icing on power lines bring different degrees of harm to the power transmission lines, it is necessary to distinguish between them depending on ice cover feature, in order to adopt different strategies. Edge features are an important feature of power transmission line icing, in this paper for is discussed the image edge feature extraction difficult problem, according to the principles of image segmentation clustering analysis on the image of the sample for the Minkowski metric defects, with dynamic time warping (DTW) as the measure of inter-cluster analysis of samples similarity measure, this paper proposes a method of power transmission line based on DTW measure cluster analysis icing image edge feature extraction, clustering center of all clusters formed as the edge features of the a power transmission line icing image. Finally, experimental results show that this method can extract the power transmission line icing image edge features.

The Study on the Power Transmission Line Icing Image Edge Detection based on DTW Measure Cluster Analysis