Objective For low-voltage current transformer surface crack detection, traditional methods can not effectively distinguish cracks and scratches problem, crack detection method is proposed based on geometrical features and Moment Invariant. Method Extraction algorithm by osmosis from the gray image of the target area, according to the crack and scratches different texture features, the use of geometric features and invariant moments, determine the characteristic parameters threshold, and finally using clustering algorithm to determine the threshold determination cracks and scratches to be judged. Results After tests proved that the method can effectively distinguish cracks and scratches, and to solve the noise problem on low-voltage current transformer crack detection. Conclusion Compared with the traditional object of cracks and scratches detection methods, the method proposed in this paper has the mathematical property of invariant to rotation, translation and size of image, and it is also used to detect the crack image in the moving state.
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