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

SAMJ: fast image annotation on ImageJ/Fiji via segment anything model.

Nature communications·2026
Same author

Revisiting deep information propagation: Fractal frontier and finite-size effects.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Revisiting PSF models: Unifying framework and high-performance implementation.

Journal of microscopy·2025
Same author

Perturbative Fourier ptychographic microscopy for fast quantitative phase imaging.

Optics express·2025
Same author

Model-based temporal unmixing towards quantitative photo-switching optoacoustic tomography.

Optics express·2025
Same author

[A special form of situational syncope: pertussis-induced collapse].

Orvosi hetilap·2025

Related Experiment Video

Updated: Mar 20, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K

Transforms and Operators for Directional Bioimage Analysis: A Survey.

Zsuzsanna Püspöki1, Martin Storath2, Daniel Sage2

  • 1Biomedical Imaging Group, École polytechnique fédérale de Lausanne (EPFL), Station 17, 1015, Lausanne VD, Switzerland. zsuzsanna.puspoki@epfl.ch.

Advances in Anatomy, Embryology, and Cell Biology
|May 22, 2016
PubMed
Summary
This summary is machine-generated.

This study presents advanced methods for directional image analysis and rotation-invariant processing, enhancing biomedical image analysis with improved accuracy and efficiency. The research unifies concepts using operators for robust pattern recognition.

More Related Videos

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

4.2K
Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research
15:18

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

17.0K

Related Experiment Videos

Last Updated: Mar 20, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K
Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

4.2K
Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research
15:18

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

17.0K

Area of Science:

  • Image Analysis
  • Computer Vision
  • Mathematical Imaging

Background:

  • Directional image analysis and rotation-invariant processing are crucial for biomedical imaging.
  • Classical methods like directional gradients and structure tensors have limitations in robustness and computational cost.

Purpose of the Study:

  • To provide a unified framework for directional image analysis and rotation-invariant processing.
  • To develop image processing methods for biomedical applications with enhanced rotation invariance and directional sensitivity.

Main Methods:

  • Review of state-of-the-art directional and rotation-invariant methods.
  • Connections to functional analysis and wavelet theory.
  • Development and application of steerable filters and steerable wavelets.

Main Results:

  • Improved robustness and invariance to geometric transformations.
  • Enhanced directional selectivity using Hessian-based schemes.
  • Efficient multiscale analysis with Fourier filters, wavelets, curvelets, and shearlets.

Conclusions:

  • Steerable filters offer optimized, arbitrary rotations for directional pattern matching.
  • Steerable wavelets provide effective tools for pattern recognition in biomedical images.
  • The unified framework enhances the performance of image analysis algorithms.