摘要
Traditional inspection cameras determine targets and detect defects by capturing images of their light intensity,but in complex environments,the accuracy of inspection may decrease.Information based on polarization of light can characterize various features of a material,such as the roughness,texture,and refractive index,thus improving classification and recognition of targets.This paper uses a method based on noise template threshold matching to denoise and preprocess polarized images.It also reports on design of an image fusion algorithm,based on NSCT transform,to fuse light intensity images and polarized images.The results show that the fused image improves both subjective and objective evaluation indicators,relative to the source image,and can better preserve edge information and help to improve the accuracy of target recognition.This study provides a reference for the comprehensive application of multi-dimensional optical information in power inspection.
基金
supported by the project“Research on enhancement and recognition technology of industrial video in power grid production under all-weather environment based on multi-dimensional optical feature fusion and pulse calculation(5700-202325308A-1-1-ZN)”of the State Grid Corporation of China.
作者简介
contributed equally:Yuxiang Su received his B.E.degree in School of Optical and Elect ronic Infor mation,Huazhong University of Science and Technology,China in 2021.He is currently working toward his M.D.degree in School of Optical and Electronic Information,Huazhong University of Science and Technology,China.His current research focuses on the polarization imaging,polarization information detection,and image processing;contributed equally:Xi Liang received his B.E.degree in School of Optical and Electronic Information,Huazhong University of Science and Technology,China in 2022.He is currently working toward his M.D.degree in School of Optical and Elect ronic Infor mation,Huazhong University of Science and Technology,China.His current research focuses on the polarization imaging,image denoising,image fusion,and image reconstruction;Ming Zhao received her B.S.and Ph.D.degrees from Huazhong University of Science and Technology,China in 1999 and 2005,respectively.Now she is a full Associate Professor in School of Optical and Electronic Information at Huazhong University of Science and Technology,China.Her research interests comprise metamaterials,metasurfaces,photoelectric detection,directly laser writing.She has published more than 50 journal papers and authorized 15 patents,zhaoming@hust.edu.cn。
