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

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

An Unsupervised Image Dehazing With Scene Geometry Prior for Road Traffic Scenarios.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Collagen disorder architecture features are associated with clinical, molecular, genetic factors and survival outcomes in colon cancer.

NPJ precision oncology·2025
Same author

Rethinking Infrared and Visible Image Fusion from a Heterogeneous Content Synergistic Perception Perspective.

Sensors (Basel, Switzerland)·2025
Same author

A Probability Fusion Approach for Foot Placement Prediction in Complex Terrains.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2023
Same author

Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features.

The journal of pathology. Clinical research·2023
Same author

Unsupervised Sim-to-Real Adaptation for Environmental Recognition in Assistive Walking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2022
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: Jul 23, 2025

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.6K

基于递归扩展细分的局部自适应图像过.

Jialiang Zhang1, Chuheng Chen2, Kai Chen2

  • 1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210046, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用递归扩展细分 (RDS) 的新本地自适应图像过 (LAIF) 方法. 通过过相似的像素,LAIF有效地平滑图像,在遥感应用中表现出强的性能.

关键词:
边缘保护过器过器有导向的过器.图像分割 图像细分 图像细分多种综合信息的综合信息.

更多相关视频

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.5K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K

相关实验视频

Last Updated: Jul 23, 2025

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.6K
Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.5K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

12.8K

科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 遥感 遥感 遥感 遥感

背景情况:

  • 传统的图像过方法往往在保护细节,同时减少噪音方面扎.
  • 在远程传感等领域,对强大的图像过技术的需求至关重要.

研究的目的:

  • 介绍一种新且有效的图像过方法,即本地自适应图像过 (LAIF).
  • 利用一种新的图像细分技术,即递归扩展细分 (RDS),以改进过.
  • 为了证明LAIF在遥感任务中的适用性和有效性.

主要方法:

  • 开发了递归扩展细分 (RDS) 来根据像素强度,色调和空间信息将图像分成区域.
  • 实现了局部自适应图像过 (LAIF),通过RDS识别的局部相似像素的平均值来平滑像素.
  • 在RDS中以递归方式利用空间相邻信息进行稳健的细分.

主要成果:

  • 通过选择性地平均类似的像素,LAIF实现了有效的图像光滑.
  • 通过整合多个信息来源 (强度,色调,空间),RDS证明了其稳健性.
  • 在遥感应用中,LAIF表现出了出色的结果,包括除尘,除尘,增强和边缘保护.

结论:

  • 拟议的LAIF方法是一种简单但有效的图像过技术.
  • 与最先进的方法相比,LAIF在各种过任务中表现出卓越的性能.
  • 整合RDS提高了过的稳定性和准确性,特别是对于遥感数据.