Substation Switch State Recognition Method Based on NSST Image Fusion

摘要

In view of the problem of misjudgment of switch state image recognition in substation, this paper proposes a method of substation switch image recognition based on the Non-Subsampled Shearing Transform (NSST) image fusion. According to their characteristics and complementary relationship, the visible image and infrared image are fused based on the NSST image fusion algorithm, and the fused image containing rich details and contour features of the two switch source images is generated. The improved Speeded Up Robust Features (SURF) algorithm is used to extract and match the target features of the fusion image, and then the multi threshold image segmentation technology based on the Chaotic Cuckoo Search (CCS) algorithm is used for processing. Finally, the slope of the line where the switch arm and two contacts are located is obtained based on Hough transform, and the switch state is judged according to the angle difference between them. Simulation results show the reliability of the proposed method.