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

Spanning Openings in Brick Walls01:20

Spanning Openings in Brick Walls

620
In brick wall construction, supporting structures are crucial for openings like windows and doors to maintain the integrity and support the weight of the wall above. These supports include lintels, corbels, and arches, each serving specific structural purposes.
Lintels are primary supports used to span openings and can be crafted from materials such as reinforced concrete, steel-reinforced brick masonry, or simple steel angles. These are straightforward to install and are typically concealed...
620
Mesh Analysis01:20

Mesh Analysis

1.6K
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
1.6K
Bone Remodeling01:40

Bone Remodeling

40.9K
Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
40.9K
Carbon Skeletons01:12

Carbon Skeletons

116.5K
Life on Earth is carbon-based, as all macromolecules that make up living organisms contain carbon atoms. All organic compounds have a carbon backbone. Each carbon atom is tetravalent and can bond with four other atoms, making it an extraordinarily flexible component of biological molecules. Because carbon’s valence electrons are stable, it rarely becomes an ion. As the carbon chain increases in length, structural modifications such as ring structures, double bonds, and branching side...
116.5K
Structural Classification of Joints01:20

Structural Classification of Joints

8.3K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
8.3K
Stability of structures01:14

Stability of structures

575
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
575

You might also read

Related Articles

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

Sort by
Same author

Erratum: Publisher's note: Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

Journal of medical imaging (Bellingham, Wash.)·2023
Same author

Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

Journal of medical imaging (Bellingham, Wash.)·2023
Same author

Deep learning-based method for segmenting epithelial layer of tubules in histopathological images of testicular tissue.

Journal of medical imaging (Bellingham, Wash.)·2023
Same author

The Gold Standard Paradox in Digital Image Analysis: Manual Versus Automated Scoring as Ground Truth.

Archives of pathology & laboratory medicine·2017
Same author

New computerized staging method to analyze mink testicular tissue in environmental research.

Environmental toxicology and chemistry·2016
Same author

Preconditioning 2D Integer Data for Fast Convex Hull Computations.

PloS one·2016

Related Experiment Video

Updated: Mar 14, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K

A Faster, Unbiased Path Opening by Upper Skeletonization and Weighted Adjacency Graphs.

Teo Asplund, Cris L Luengo Hendriks

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 23, 2016
    PubMed
    Summary

    This study introduces a novel, efficient path opening algorithm using grayvalue skeletons for image analysis. The method accurately preserves image structures and scales linearly with image size, offering significant speedups.

    More Related Videos

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
    07:08

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

    Published on: July 14, 2015

    7.8K
    Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
    05:30

    Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

    Published on: October 10, 2025

    587

    Related Experiment Videos

    Last Updated: Mar 14, 2026

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.6K
    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
    07:08

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

    Published on: July 14, 2015

    7.8K
    Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
    05:30

    Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

    Published on: October 10, 2025

    587

    Area of Science:

    • Image Processing
    • Computer Vision
    • Mathematical Morphology

    Background:

    • Path opening is an image filter preserving bright regions where paths of length L fit.
    • Existing efficient implementations scale with path length (L), graylevels (Q), and image size (N).
    • Parsimonious path opening offers speed but may miss crucial image structures.

    Purpose of the Study:

    • To develop a more accurate and efficient approximation of the path opening filter.
    • To overcome the limitations of existing approximations that may miss important image structures.
    • To improve the computational performance of path opening while maintaining accuracy.

    Main Methods:

    • A novel approximation using grayvalue skeletons to preselect paths.
    • Employing an H-minima transform to simplify the image and reduce skeleton branches.
    • Implementing a graph-based path opening operating on skeleton pixels with weighted edges.

    Main Results:

    • The proposed algorithm scales linearly with image size (N).
    • Achieved speedups up to one order of magnitude compared to traditional methods.
    • Demonstrated superior accuracy in measuring length distributions compared to other variants.
    • Often slightly faster for longer paths than for shorter paths.

    Conclusions:

    • The grayvalue skeleton-based path opening is an efficient and accurate approximation.
    • This method effectively preserves important linear structures in images.
    • The algorithm offers significant computational advantages for image analysis tasks.