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Orientation and damage inspection of insulators based on Tchebichef moment invariants

Guohai Liu, Zhu Zhu, Jie Xu

发表年份
2008
引用次数
4

摘要

Based on the Tchebichef moment invariants, methods of orientation and damage inspection of insulators which was applied in the vision system of inspection robot on the power transmission lines was proposed in the paper. The image of insulators was first subjected to a normalization process to obtain rotation, scale and translation invariance. As feature vector, the Zernike moment invariants were then extracted from the normalized images. The recognition was realized by nearest neighbor feature matching. At last, damage of insulators was inspected by the gray level change rate of longitudinal tangent. Compared with Zernike moments and Hu moments, the accuracy of Tchebichef moment invariants performed much better.

关键词

Zernike polynomialsArtificial intelligenceNormalization (sociology)Feature extractionComputer visionMoment (physics)Pattern recognition (psychology)Scale invarianceOrientation (vector space)Computer science

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