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

Consecutive Reactions01:22

Consecutive Reactions

Consecutive reactions involve a sequence where the product of a preceding reaction becomes the reactant for the subsequent one. In a simple scheme, A transforms into B, which further reacts to form C, with rate constants k1 and k2, respectively. This concept is evident in the radioactive decay series. Assuming an initial state with only A present, the conservation of matter leads to three coupled differential equations, determining the concentrations of A, B, and C over time.The rate of change...
Fast Reactions01:27

Fast Reactions

Fast reactions occurring in times shorter than the time needed to mix reactants pose a unique challenge for investigation. In a liquid-phase continuous-flow system, reactants A and B are swiftly pushed into the mixing chamber, where mixing occurs within 1 ms. The reaction mixture then flows through an observation tube, and one measures light absorption to determine species concentrations at various points of the tube. This method is most appropriate when relatively large volumes of reactants...
Reaction Mechanisms: The Steady-State Approximation01:26

Reaction Mechanisms: The Steady-State Approximation

The steady-state approximation, also referred to as the quasi-steady-state approximation to differentiate it from a true steady state, is a widely used method for simplifying calculations in complex reaction mechanisms. This approach is particularly useful when dealing with multi-step reactions that involve reverse reactions or several steps, which can significantly increase mathematical complexity and make the reactions nearly unsolvable analytically.The steady-state approximation operates on...
Reversible or Opposing Reactions01:26

Reversible or Opposing Reactions

Reversible or opposing reactions play a crucial role in understanding the dynamic nature of chemical processes. While kinetics focuses on how reactions proceed, thermodynamics emphasizes that most reactions do not reach completion. Instead, a reverse reaction starts occurring over time, and when its rate equals that of the forward reaction, a dynamic equilibrium is established.For example, consider a simple chemical process where A forms B reversibly. The rate constants for the forward and...
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
Reaction Mechanisms: Rate-limiting Step Approximation01:29

Reaction Mechanisms: Rate-limiting Step Approximation

The rate-determining step, or RDS, in a chemical reaction is the slowest step that determines the overall reaction rate. It is identified by using the observed rate law and typically involves approximation methods like the RDS approximation or the steady-state approximation.In the RDS approximation, also known as the rate-limiting-step or equilibrium approximation, the reaction mechanism consists of one or more reversible reactions near equilibrium, followed by a slower RDS, and then one or...

You might also read

Related Articles

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

Sort by
Same author

Progressive Fusion of Multi-Scale Mamba Context and Local Detail Priors for Infrared Small Target Detection.

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

Performance of Age-Adjusted Whole Genome Sequencing Telomere Length in Idiopathic Pulmonary Fibrosis.

American journal of respiratory and critical care medicine·2026
Same author

Publisher Correction: Whole genome sequence analysis of pulmonary function and COPD in 44,287 multi-ancestry participants.

Genome biology·2026
Same author

Intravascular Ultrasound-Guided Planned Rotational Atherectomy for Grade Ⅲ Coronary Calcified Stenose Versus Cutting Balloon: A Single-Center Prospective Study.

The American journal of cardiology·2026
Same author

Optical Coherence Tomography Biomarkers Differentiate Epiretinal Membranes Secondary to Retinal Detachment from Idiopathic Epiretinal Membranes.

Journal of vitreoretinal diseases·2026
Same author

Arrhythmia Burden and Clinical Responses Under Continuous Monitoring in Heart Failure: Observations From the ALLEVIATE-HF Trial.

Journal of the American College of Cardiology·2026
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

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

Semantic Frame Interpolation.

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

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

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

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: May 19, 2026

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
05:37

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization

Published on: August 22, 2025

Reinitialization-free level set evolution via reaction diffusion.

Kaihua Zhang1, Lei Zhang, Huihui Song

  • 1Department of Computing, The Hong Kong Polytechnic University, Hong Kong. zhkhua@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|August 23, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel reaction-diffusion (RD) method for level set evolution (LSE) active contours, eliminating the need for reinitialization. This stable RD-LSE approach enhances boundary antileakage performance in image segmentation.

More Related Videos

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
10:07

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

Related Experiment Videos

Last Updated: May 19, 2026

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
05:37

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization

Published on: August 22, 2025

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
10:07

Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

Published on: January 31, 2020

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Mathematics

Background:

  • Level Set Evolution (LSE) is crucial for image segmentation but often requires computationally expensive reinitialization.
  • Implicit active contours in LSE can suffer from numerical instabilities and leakage issues.

Purpose of the Study:

  • To develop a novel reaction-diffusion (RD) method for LSE that eliminates the reinitialization procedure.
  • To enhance the stability and boundary antileakage performance of LSE-based active contours.

Main Methods:

  • Introduced a diffusion term into the LSE equation, creating a Reaction-Diffusion Level Set Evolution (RD-LSE) equation.
  • Proposed a two-step splitting method to iteratively solve the RD-LSE equation, stabilizing the solution.
  • Utilized a simple finite difference method for stable and easy implementation.

Main Results:

  • The proposed RD-LSE method completely removes the need for the costly reinitialization step.
  • Demonstrated excellent boundary antileakage performance.
  • Validated the effectiveness through extensive experiments on synthetic and real images.

Conclusions:

  • The RD-LSE method offers a stable, efficient, and easily implementable alternative to traditional LSE techniques.
  • The approach generalizes to both variational and PDE-based LSE methods.
  • The method significantly improves the robustness of active contours in image segmentation.