Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.3K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Research Progress on Membranous Nephropathy-Related Antigens and Immune-Targeted Therapy.

Current topics in medicinal chemistry·2026
Same author

Prevotella denticola promotes caries by inducing oral microbial dysbiosis.

BMC oral health·2026
Same author

Designing Educational Games to Foster Decision Experience in College Innovation and Entrepreneurship Programs.

Journal of visualized experiments : JoVE·2026
Same author

From Thoughts to Actions: A Longitudinal Examination of NSSI Risk Factors in Adolescence.

Psychology research and behavior management·2025
Same author

Exposure to the growth promoter tylosin elicits gut microbiota disruption and metabolic imbalance in mouse model.

Environment international·2025
Same author

Extracellular vesicles of Candida albicans show dual effects on Enterococcus faecalis growth and virulence: A laboratory-based investigation.

International endodontic journal·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: May 1, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

改进了多个环境的无监督拼接算法 SuperUDIS.

Haoze Wu1, Chun Bao1, Qun Hao1,2

  • 1Instrument Science and Technology, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

我们介绍了超级无监督深度图像拼接 (SuperUDIS),一种增强的图像拼接方法. 超级UDIS改进了特征提取和匹配,从而在复杂的环境中获得更强大,更高分辨率的拼接图像.

关键词:
颜色平衡是因为颜色平衡.深度学习是一种深度学习.图像拼接 图像拼接 图像拼接无人监督的接,无人监督的接

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

492
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

376

相关实验视频

Last Updated: May 1, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

492
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

376

科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 人工智能的人工智能

背景情况:

  • 在许多应用中,大视野图像是必不可少的.
  • 现有的图像拼接方法在不同的环境中面临局限性.
  • 硬件限制往往导致视野有限,需要接技术.

研究的目的:

  • 开发一个改进的图像拼接算法,克服当前方法的局限性.
  • 提高拼接图像的质量,特别是在线性结构扭曲和分辨率方面.
  • 为了创建一个更强大的拼接解决方案,用于复杂的环境,具有显著的变化.

主要方法:

  • 集成超点用于特征提取和光用于特征匹配与无监督深度图像拼接 (UDIS).
  • 优化UDIS损失函数使用二阶微分拉普拉斯运算符来保持结构边缘连续性.
  • 开发超级无监督深度图像拼接 (SuperUDIS) 算法.

主要成果:

  • 超级UDIS在定性和定量评估中表现出比UDIS算法更好的性能.
  • 在峰值信号与噪声比率 (PSNR) 中平均增加了0.5,在结构相似度指数 (SSIM) 中平均增加了0.02.
  • 在复杂的场景中表现出增强的稳定性,包括具有很大的颜色差异和多线性结构的场景.

结论:

  • 与UDIS相比,提出的SuperUDIS算法提供了优越的图像拼接功能.
  • 超级UDIS有效地解决了线性扭曲和合图像中低分辨率的问题.
  • 该方法为在具有挑战性的环境条件下进行图像拼接提供了更强大的解决方案.