Dense metal corrosion depth estimation

Dense metal corrosion depth estimation

Introduction: Metal corrosion detection is important for protecting lives and property. X-ray inspection systems are widely used because of their good penetrability and visual presentation capability. They can visually display both external and internal corrosion defects. However, existing X-ray-bas...

Full description

Bibliographic Details
Main Authors:	Yanping Li, Honggang Li, Yong Guan, Xinyu Zhang, Xiaomei Zhao
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Physics
Subjects:	corrosion depth estimation image segmentation image inpainting virtual training data generation x-ray image
Online Access:	https://www.frontiersin.org/articles/10.3389/fphy.2023.1277710/full

Similar Items

Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild
by: Ilia Semenkov, et al.
Published: (2024-01-01)

Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation
by: Wongsakorn Preedanan, et al.
Published: (2022-01-01)

Pre-Inpainting Convolutional Skip Triple Attention Segmentation Network for AGV Lane Detection in Overexposure Environment
by: Zongxin Yang, et al.
Published: (2022-10-01)

Survey of Research on Image Inpainting Methods
by: LUO Haiyin, ZHENG Yuhui
Published: (2022-10-01)

PiiGAN: Generative Adversarial Networks for Pluralistic Image Inpainting
by: Weiwei Cai, et al.
Published: (2020-01-01)

Approximate Depth Shape Reconstruction for RGB-D Images Captured from HMDs for Mixed Reality Applications
by: Naoyuki Awano
Published: (2020-03-01)

Generative Steganography by Sampling
by: Zhuo Zhang, et al.
Published: (2019-01-01)

Image Inpainting for 3D Reconstruction Based on the Known Region Boundaries
by: Hailong Yan, et al.
Published: (2022-08-01)

Hole-Filling of RealSense Depth Images Using a Color Edge Map
by: Ji-Min Cho, et al.
Published: (2020-01-01)

Multi-Step Structure Image Inpainting Model with Attention Mechanism
by: Cai Ran, et al.
Published: (2023-02-01)

Segmentation-based Method of Increasing The Depth Maps Temporal Consistency
by: Dawid Mieloch, et al.
Published: (2018-08-01)

Progressive With Purpose: Guiding Progressive Inpainting DNNs Through Context and Structure
by: Kangdi Shi, et al.
Published: (2023-01-01)

Review of Application of Generative Adversarial Networks in Image Restoration
by: GONG Ying, XU Wentao, ZHAO Ce, WANG Binjun
Published: (2024-03-01)

Implementation of four kriging models for depth inpainting
by: Yossawee Keaomanee, et al.
Published: (2020-09-01)

Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting
by: Muzi Cui, et al.
Published: (2023-09-01)

Double-Constraint Inpainting Model of a Single-Depth Image
by: Wu Jin, et al.
Published: (2020-03-01)

Image Structure-Induced Semantic Pyramid Network for Inpainting
by: Rong Huang, et al.
Published: (2023-07-01)

Attention-Based Background/Foreground Monocular Depth Prediction Model Using Image Segmentation
by: Ting-Hui Chiang, et al.
Published: (2022-11-01)

Artifact Handling Based on Depth Image for View Synthesis
by: Xiaodong Chen, et al.
Published: (2019-05-01)

IRL-Net: Inpainted Region Localization Network via Spatial Attention
by: Amir Etefaghi Daryani, et al.
Published: (2023-01-01)

RegionInpaint, Cutoff and RegionMix: Introducing Novel Augmentation Techniques for Enhancing the Generalization of Brain Tumor Identification
by: Omar S. El-Assiouti, et al.
Published: (2023-01-01)

TP-GAN: Simple Adversarial Network With Additional Player for Dense Depth Image Estimation
by: Andi Hendra, et al.
Published: (2023-01-01)

IISTD: Image Inpainting-Based Small Target Detection in a Single Infrared Image
by: Deyong Lu, et al.
Published: (2022-01-01)

Semantic-SCA: Semantic Structure Image Inpainting With the Spatial-Channel Attention
by: Jingjun Qiu, et al.
Published: (2021-01-01)

DIGITAL IMAGE RESTORATION USING SURF ALGORITHM
by: Shanmukhaprasanthi Tammineni, et al.
Published: (2024-03-01)

Snapshot depth–spectral imaging based on image mapping and light field
by: Xiaoming Ding, et al.
Published: (2023-02-01)

Multiscale Structure and Texture Feature Fusion for Image Inpainting
by: Lan Li, et al.
Published: (2022-01-01)

Computer-Aided Depth Video Stream Masking Framework for Human Body Segmentation in Depth Sensor Images
by: Karolis Ryselis, et al.
Published: (2022-05-01)

Guidance Information Assisted Reconstruction of Masked Faces
by: Dojin Kim, et al.
Published: (2023-01-01)

Deep Learning-Based Monocular Depth Estimation Methods—A State-of-the-Art Review
by: Faisal Khan, et al.
Published: (2020-04-01)

Deep learning-based UAV image segmentation and inpainting for generating vehicle-free orthomosaic
by: Jisoo Park, et al.
Published: (2022-12-01)

Optic disc segmentation for glaucoma screening system using fundus images
by: Almazroa A, et al.
Published: (2017-11-01)

A Comparison of X-Ray Image Segmentation Techniques
by: STOLOJESCU-CRISAN, C., et al.
Published: (2013-08-01)

The Synthesis of Unpaired Underwater Images for Monocular Underwater Depth Prediction
by: Qi Zhao, et al.
Published: (2021-09-01)

Pneumonia Detection using Depth-Wise Convolutional Neural Network (DW-CNN)
by: Inderpreet Walia, et al.
Published: (2020-09-01)

Corrosion Depth Inversion Method Based on the Lift-Off Effect of the Capacitive Imaging (CI) Technique
by: Xiaokang Yin, et al.
Published: (2020-01-01)

Unpaired Underwater Image Synthesis with a Disentangled Representation for Underwater Depth Map Prediction
by: Qi Zhao, et al.
Published: (2021-05-01)

Combining Deep Image Prior and Second-Order Generalized Total Variance for Image Inpainting
by: Shaopei You, et al.
Published: (2023-07-01)

Collaborative Contrastive Learning-Based Generative Model for Image Inpainting
by: Yongqiang Du, et al.
Published: (2022-01-01)

Recovering Microscopic Images in Material Science Documents by Image Inpainting
by: Taeyun Kim, et al.
Published: (2023-03-01)