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Journal of System Simulation

Abstract

Abstract: A method to locate the insulators in the power grid patrol aerial images was proposed. OTSU algorithm improved by genetic algorithm was applied to segment insulators from backgrounds. The segmented images were filtered and reconstructed based on morphology algorithm. SketchUp software was used to build insulator samples, namely positive samples. The moment invariants of these samples and negative samples(background) were calculated respectively to train a classifier based on AdaBoost algorithm. By using the trained classifier, segmented insulators were classified and located coarsely. The Order Cut method (OC) was used to cut the original minimum circumscribed rectangle consisting of all rectangles which located the same insulator, and the insulators could be located exactly and completely. The testing results show that this methodology can locate different types and length of insulators from aerial images effectively , accurately and completely.

First Page

1327

Revised Date

2016-04-06

Last Page

1336

CLC

TN911.73

Recommended Citation

Cheng Haiyan, Han Pu, Wang Di, Zhai Yongjie. Location Method of Insulators in Power Grid Patrol Aerial Images[J]. Journal of System Simulation, 2017, 29(6): 1327-1336.

DOI

10.16182/j.issn1004731x.joss.201706023

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