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

Region of Convergence01:17

Region of Convergence

663
The z-transform is a powerful mathematical tool used in the analysis of discrete-time signals and systems. It is a crucial tool in the analysis of discrete-time systems, but its convergence is limited to specific values of the complex variable z. This range of values, known as the Region of Convergence (ROC), is fundamental in determining the behavior and stability of a system or signal. The ROC defines the region in the complex plane where the z-transform converges, which can take various...
663
Centroid for the Paraboloid of Revolution01:16

Centroid for the Paraboloid of Revolution

711
The paraboloid of revolution is an axially symmetric surface generated by rotating a parabola around its axis. This shape has several applications in mechanical engineering due to its advantageous structural properties, such as strength against stress concentration points and rotational symmetry.
The centroid for the paraboloid of revolution is the point where all the mass of the paraboloid is concentrated. This centroid is important for engineering applications, as it determines how forces are...
711

You might also read

Related Articles

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

Sort by
Same author

Data mining from process monitoring of typical polluting enterprise.

Environmental monitoring and assessment·2023
Same author

A Micromechanical-Based Semi-Empirical Model for Predicting the Compressive Strength Degradation of Concrete under External Sulfate Attack.

Materials (Basel, Switzerland)·2023
Same author

Bell pepper derived nitrogen-doped carbon dots as a pH-modulated fluorescence switching sensor with high sensitivity for visual sensing of 4-nitrophenol.

Food chemistry·2023
Same author

The utility of P-I-R classification in predicting the on-treatment histological and clinical outcomes of patients with hepatitis B and advanced liver fibrosis.

Hepatology (Baltimore, Md.)·2023
Same author

Application of urea-based magnetic covalent organic framework as sorbent for the determination of coumarin and its derivatives in food samples combined with liquid chromatography-mass spectrometry.

Food chemistry·2023
Same author

The prognosis of gliomas with different molecular subtypes in the era of intensity-modulated radiation therapy (IMRT).

Aging·2023

Related Experiment Video

Updated: Nov 5, 2025

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.6K

Geodesic Paths for Image Segmentation With Implicit Region-Based Homogeneity Enhancement.

Da Chen, Jian Zhu, Xinxin Zhang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |May 20, 2021
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an advanced interactive image segmentation model using Eikonal partial differential equations (PDEs) and region-based homogeneity. The new method enhances boundary detection and outperforms existing minimal path techniques.

    More Related Videos

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    3.1K
    Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates
    11:24

    Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

    Published on: March 7, 2017

    7.2K

    Related Experiment Videos

    Last Updated: Nov 5, 2025

    Quantifying Intermembrane Distances with Serial Image Dilations
    07:45

    Quantifying Intermembrane Distances with Serial Image Dilations

    Published on: September 28, 2018

    6.6K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    3.1K
    Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates
    11:24

    Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

    Published on: March 7, 2017

    7.2K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Computational Mathematics

    Background:

    • Minimal paths offer optimal solutions for image segmentation and boundary detection.
    • Existing methods often struggle with integrating diverse features like anisotropy and region homogeneity.

    Purpose of the Study:

    • To develop a flexible interactive image segmentation model.
    • To enhance boundary detection and image segmentation accuracy by integrating region-based homogeneity.

    Main Methods:

    • Utilizing the Eikonal partial differential equation (PDE) framework.
    • Constructing local geodesic metrics incorporating anisotropic/asymmetric edge features, region homogeneity, and curvature regularization.
    • Employing an implicit representation for region-based homogeneity features.

    Main Results:

    • The proposed model successfully integrates anisotropic and asymmetric edge features with region-based homogeneity.
    • A novel method for constructing closed contours from open curves was introduced.
    • Experimental results demonstrate superior performance compared to state-of-the-art minimal path segmentation methods.

    Conclusions:

    • The developed interactive segmentation model offers a flexible and powerful approach.
    • The integration of implicit region-based homogeneity and local geodesic metrics significantly improves segmentation quality.
    • This work advances minimal path-based image segmentation techniques.