Correction: Jiang et al. Double-Gated Mamba Multi-Scale Adaptive Feature Learning Network for Unsupervised Single RGB Image Hyperspectral Image Reconstruction. J. Imaging 2026, 12, 19 [0.03%]
Correction: 江等人.双栅姆巴多尺度自适应特征学习网络用于无监督单RGB图像高光谱图像重建。J. Imaging 2026, 12, 19
Zhongmin Jiang,Zhen Wang,Wenju Wang et al.
Zhongmin Jiang et al.
There were two errors in the original publication [...].
Published Erratum
Journal of imaging. 2026 Feb 11;12(2):77. DOI:10.3390/jimaging12020077 2026
Accelerating Point Cloud Computation via Memory in Embedded Structured Light Cameras [0.03%]
基于嵌入式结构光相机内存的点云计算加速方法
Yanan Zhang,Shikang Meng,Shijie Wang et al.
Yanan Zhang et al.
Embedded structured light cameras have been widely applied in various fields. However, due to constraints such as insufficient computing resources, it remains difficult to achieve high-speed structured light point cloud computation. To addr...
MDF2Former: Multi-Scale Dual-Domain Feature Fusion Transformer for Hyperspectral Image Classification of Bacteria in Murine Wounds [0.03%]
用于小鼠伤口细菌分类的 hyperspectral 图像多尺度双域特征融合变换器(MDF2Former)
Decheng Wu,Wendan Liu,Rui Li et al.
Decheng Wu et al.
Bacterial wound infection poses a major challenge in trauma care and can lead to severe complications such as sepsis and organ failure. Therefore, rapid and accurate identification of the pathogen, along with targeted intervention, is of vi...
Classification of the Surrounding Rock Based on Image Processing Analysis and Transfer Learning [0.03%]
基于图像处理分析和迁移学习的岩体分类
Yanyun Fan,Jiaqi Zhu,Hua Luo et al.
Yanyun Fan et al.
Currently, standardized classification methods of surrounding rock are relatively insufficient. The classification of surrounding rock mainly relies on the subjective judgment of technicians, leading to diverse evaluation results. This stud...
Analysis of Biological Images and Quantitative Monitoring Using Deep Learning and Computer Vision [0.03%]
基于深度学习与计算机视觉的生物图像分析及定量监测研究
Aaron Gálvez-Salido,Francisca Robles,Rodrigo J Gonçalves et al.
Aaron Gálvez-Salido et al.
Automated biological counting is essential for scaling wildlife monitoring and biodiversity assessments, as manual processing currently limits analytical effort and scalability. This review evaluates the integration of deep learning and com...
Automated Compactness Quantitative Metrics for Wrist Bone on Conventional Radiography in Rheumatoid Arthritis: A Clinical Evaluation Study [0.03%]
基于传统X线的类风湿关节炎腕骨影像自动紧凑度定量检测方法的临床评价研究
Jiajing Zhou,Junmu Peng,Haolin Wang et al.
Jiajing Zhou et al.
Rheumatoid arthritis (RA) frequently affects the joints of the hands, with joint space narrowing (JSN) representing an important early marker of structural damage. The semi-quantitative Sharp/van der Heijde (SvdH) scoring system is widely u...
SREF: Semantics-Refined Feature Extraction for Long-Term Visual Localization [0.03%]
基于语义精炼的长期视觉定位方法研究
Danfeng Wu,Kaifeng Zhu,Heng Shi et al.
Danfeng Wu et al.
Accurate and robust visual localization under changing environments remains a fundamental challenge in autonomous driving and mobile robotics. Traditional handcrafted features often degrade under long-term illumination and viewpoint variati...
Print Quality Assessment of QR Code Elements Achieved by the Digital Thermal Transfer Process [0.03%]
数字热转印工艺制作的QR码元素的印刷质量评估
Igor Majnarić,Marija Jelkić,Marko Morić et al.
Igor Majnarić et al.
The new European Regulation (EU) 2025/40 includes provisions on modern packaging and packaging waste. It defines the use of image QR codes on packaging (items 71 and 161) and in personal documents, making line barcodes a thing of the past. ...
Daewoon Kim,I-Gil Kim
Daewoon Kim
Accurate six-degree-of-freedom (6-DoF) visual localization is a fundamental component for modern mapping and navigation. While recent data-centric approaches have leveraged Novel View Synthesis (NVS) to augment training datasets, these meth...
3D Road Defect Mapping via Differentiable Neural Rendering and Multi-Frame Semantic Fusion in Bird's-Eye-View Space [0.03%]
基于可微分神经渲染和多帧语义融合的鸟瞰图视角下的三维路面缺陷地图绘制方法
Hongjia Xing,Feng Yang
Hongjia Xing
Road defect detection is essential for traffic safety and infrastructure maintenance. Excising automated methods based on 2D image analysis lack spatial context and cannot provide accurate 3D localization required for maintenance planning. ...