Abstract
Transmission Line obstacle detection technology is one of the hot spots of computer vision and transmission line inspection robot system.As the most common obstacle of inspection robot,correctly identify of insulators can help improve the reliability and accuracy of self-inspection. Low robustness of traditional detection algorithm can not meet the requirements on insulators detection when dealing with complex environment. To solve the above problem, a transmission line insulators detection method based on KAZE algorithm is given. The feature extraction is done in the nonlinear scale space, and feature vectors are formed with M-SURF algorithm, what’s more, feature vectors detecting is worked through the nearest neighbor algorithm as matching criteria and RANSC generated algorithm. Experimental results show that the effect of insulators detection algorithm based on KAZE detect faster and also make a good performance on accuracy and robustness.
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