Wavelets and curvelets transform for image denoising to damage identification of thin plate

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期刊论文

作者：

Deng Yulong;Ding Ke;Ouyang Chunsheng;Luo Yingshe;Tu Yu;...

通讯作者：

Ding Ke<&wdkj&>Ouyang Chunsheng

作者机构：

Hunan Province Key Laboratory of Engineering Rheology, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China

College of Civil Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China

[Tu Yu; Fu Jianyi; Wang Wei] Hunan Institute of Traffic Engineering, Hengyang, 421000, China

[Du Yaguang] Wuhan Municipal Engineering Design & Research Institute Co., Ltd., Wuhan, Hubei, 430015, China

[Deng Yulong; Ding Ke] Hunan Province Key Laboratory of Engineering Rheology, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China<&wdkj&>College of Civil Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China

通讯机构：

[Ding Ke; Ouyang Chunsheng] H

Hunan Province Key Laboratory of Engineering Rheology, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China<&wdkj&>College of Civil Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China<&wdkj&>Hunan Institute of Traffic Engineering, Hengyang, 421000, China<&wdkj&>Hunan Province Key Laboratory of Engineering Rheology, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China<&wdkj&>College of Civil Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China

语种：

英文

关键词：

Thin plate;Wavelet transform;Curvelet transform;Image denoising;Damage identification

期刊：

Results in Engineering

ISSN：

2590-1230

年：

2023

卷：

页码：

100837

DOI：

10.1016/j.rineng.2022.100837

机构署名：

本校为第一且通讯机构

院系归属：

土木工程学院

摘要：

As a common structural form, thin plates are widely used in civil engineering. Since the thin plate needs to face harsh work conditions, the damage inevitably to be accumulated, thus affecting the stability and safety of the application components. Therefore, it is of great application significance to quantify and characterize the damage of thin plates. However, the raw images produced by current inspection techniques such as Ultrasonic immersion C-scan technology, Metal sheet Lamb wave inspection technology, etc applied to thin plates usually bring various noises and imperfections during the ...

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Wavelets and curvelets transform for image denoising to damage identification of thin plate

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