Real-time Locate of Instulator String in Transmission Line Images

• 1、Chongqing University,College of Computer Science，Chongqing 400044

Abstract：Considering the difficulty of locating the insulator string on aerial image, in this paper, a novel method based on the deformation stability of scatter transform coefficients is proposed. In this work, scatter transform is applied to extract coefficients to suppress the interference of light. To enhance the edge texture features, the Gram matrix of low frequency coefficients is calculated. Then, the size of network feature map is calculated according to the training set. With scatter transform coefficients, the improved YOLOv2 network is trained to generate the initial location of the insulator string, which is proved to be effective in object dectection. Finally, the accurate location can be obtained by ensemble learning. The experimental results demonstrate that the proposed method can not only improve the recall rate by 8.6% compared with the original YOLOv2 network, but also guarantee the real-time response speed.

Keywords： insulator locating scattering cnn ensemble learning