Research on tree image retrieval method based on twin network multi feature fusion

In this paper, an image retrieval method based on twin network multi feature fusion is proposed to improve the retrieval accuracy of tree images to meet the detection requirements of power grid line tree obstacles. In the twin network, the color features, texture features and shape features of the reference image and test image are included in the SiamRPN module for convolution processing, and then the similarity is judged through UM module fusion. The experimental results show that this method can achieve accurate retrieval of coconut, banyan and other tree images, and the retrieval accuracy and robustness are significantly higher than other image retrieval methods.