Research on a multi-dimensional image information fusion algorithm based on NSCT transform

被引：0

作者：

Yuxiang Su ^{[1
]}

Xi Liang ^{[1
]}

Danhua Cao ^{[1
]}

Zhenyu Yang ^{[1
]}

Yuanlong Peng ^{[2
]}

Ming Zhao ^{[1
]}

机构：

[1] School of Optical and Electronic Information, Huazhong University of Science and Technology

[2] State Grid Information and Telecommunication

来源：

Frontiers of Optoelectronics | 2024年 / 17卷 / 01期

关键词：

D O I：

暂无

中图分类号：

TP391.41 []; TM73 [电力系统的调度、管理、通信];

学科分类号：

080203 ;

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.

引用

页码：31 / 46

页数：16

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