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 Experiment Video

Updated: May 29, 2026

Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

Image analysis using multigrid relaxation methods.

D Terzopoulos1

  • 1M.I.T Artificial Intelligence Laboratory, 545 Technology Square, Cambridge, MA 02139.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

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

T-snakes: topology adaptive snakes.

Medical image analysis·2000
Same author

Topology adaptive deformable surfaces for medical image volume segmentation.

IEEE transactions on medical imaging·2000
Same author

Deformable models and the analysis of medical images.

Studies in health technology and informatics·1996
Same author

Deformable models in medical image analysis: a survey.

Medical image analysis·1996
Same author

A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·1995
Same author

Computer-assisted registration, segmentation, and 3D reconstruction from images of neuronal tissue sections.

IEEE transactions on medical imaging·1994

Multiresolution iterative algorithms, enhanced by multigrid methods, accelerate image analysis. This approach efficiently solves complex early vision problems like shape-from-shading and optical flow.

Area of Science:

  • Computer Vision and Image Analysis
  • Computational Mathematics and Numerical Methods

Background:

  • Image analysis problems are often formulated as variational principles or partial differential equations.
  • Traditional relaxation algorithms are iterative and parallel but suffer from slow convergence in large-scale image analysis due to inefficient constraint propagation.

Purpose of the Study:

  • To develop and evaluate multiresolution iterative algorithms for key early vision tasks.
  • To demonstrate the efficiency gains offered by multigrid methods in solving ill-posed image analysis problems.

Main Methods:

  • Development of multiresolution iterative algorithms incorporating multigrid methods.
  • Application to computing lightness, shape-from-shading, and optical flow.
  • Efficiency analysis using synthetic image datasets.

More Related Videos

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

Controlled Strain of 3D Hydrogels under Live Microscopy Imaging
07:41

Controlled Strain of 3D Hydrogels under Live Microscopy Imaging

Published on: December 4, 2020

Related Experiment Videos

Last Updated: May 29, 2026

Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

Controlled Strain of 3D Hydrogels under Live Microscopy Imaging
07:41

Controlled Strain of 3D Hydrogels under Live Microscopy Imaging

Published on: December 4, 2020

Main Results:

  • Multigrid methods overcome the slow convergence of distributed algorithms in large image representations.
  • The developed multiresolution algorithms show efficiency in computing lightness, shape-from-shading, and optical flow.
  • The multigrid methodology is broadly applicable to various early vision tasks.

Conclusions:

  • Multiresolution iterative algorithms using multigrid methods provide an efficient solution for early vision problems.
  • This approach is particularly effective for ill-posed image analysis problems when combined with regularization.
  • The described multigrid methodology offers a broadly applicable strategy for accelerating image analysis.