Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Associations between prenatal exposure to indoor air pollution and ambient particulate matter with infant growth.

Journal of environmental sciences (China)·2026
Same author

2-guanidine-4-methylquinazoline inhibits platelet activation and thrombosis by targeting the acid-sensing ion channel 3.

European journal of pharmacology·2026
Same author

Protein craving links larval signals to food provisioning in honey bees.

Science advances·2026
Same author

FABP7 controls radial glial scaffold stability during human cortical development.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Process and forces of tight-sandstone gas charging in the Shihezi formation (P<sub>2</sub>x<sup>1</sup>) Dongsheng gas field, northern Ordos Basin China.

Scientific reports·2026
Same author

Photoisomeric Molecule-Mediated Ion Anchoring and UV Resistance in Metal Halide Perovskites.

Research (Washington, D.C.)·2026

Related Experiment Video

Updated: May 29, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

Published on: August 23, 2017

Residues cluster-based segmentation and outlier-detection method for large-scale phase unwrapping.

Hanwen Yu1, Zhenfang Li, Zheng Bao

  • 1National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China. yuhanwenxd@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 20, 2011
PubMed
Summary

This study introduces an outlier-detection method for large-scale 2-D phase unwrapping. It effectively tiles and splices images, overcoming challenges in handling large datasets and avoiding solution inconsistencies.

More Related Videos

Automated Joint Space Detection Improves Bone Segmentation Accuracy
06:45

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
12:18

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

Published on: October 21, 2018

Related Experiment Videos

Last Updated: May 29, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS (Super-region Volume Segmentation) Workbench

Published on: August 23, 2017

Automated Joint Space Detection Improves Bone Segmentation Accuracy
06:45

Automated Joint Space Detection Improves Bone Segmentation Accuracy

Published on: November 28, 2025

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
12:18

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

Published on: October 21, 2018

Area of Science:

  • Image processing
  • Computational mathematics

Background:

  • 2-D phase unwrapping is crucial for various applications.
  • Scaling up image size presents challenges in tiling and splicing for accurate phase unwrapping.

Purpose of the Study:

  • To address the difficulties in large-scale 2-D phase unwrapping.
  • To propose an efficient method for image tiling and splicing in phase unwrapping.

Main Methods:

  • Abstracting phase unwrapping as solving large-scale inconsistent linear equations.
  • Utilizing L(0)-norm criterion for image tiling and splicing.
  • Developing an outlier-detection-based method to solve the NP-hard L(0)-norm problem.

Main Results:

  • A novel tiling strategy based on residue distribution clustering is proposed.
  • An approximate solution to the NP-hard L(0)-norm problem is achieved.
  • The method effectively avoids inconsistencies between local and global phase unwrapping solutions.

Conclusions:

  • The proposed outlier-detection method offers an efficient solution for large-scale 2-D phase unwrapping.
  • This approach enhances the accuracy and reliability of phase unwrapping in large-scale applications.
  • It successfully mitigates tiling-induced inconsistencies in phase unwrapping.