Abstract
In this paper, we present a robust and flexible automatic inspection method of insulators in outdoor power plants. In outdoor environment, images of the objects to be inspected are varied both by weather and by time of inspection. To overcome this difficulty, we introduced two features to our method. One is that geometric features of insulators and their relations are modeled both for finding insulators and for detecting foreign articles on them. The other is that fifteen features are integrated into one inspection result. These two features make our method robust even in the outdoor environment.Our method consists of three steps; (1) extraction of each insulator from a scene. (2) extraction of features such as projection, histogram, line fitting etc, and (3) detection of defective regions by integrating belief value of these features.Though outdoor real image experiments, we comfirmed that our method has as much reliable as human inspectors for detecting articles attached on the insulators.
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