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

Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

300
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
300
Introduction and Methods of Leveling01:26

Introduction and Methods of Leveling

161
Leveling is a surveying procedure used to determine elevation differences between distant points. Elevation refers to the vertical distance above or below a reference datum, typically mean sea level (MSL). In the United States, elevations are often referenced to the mean sea level station at Father Point Rimouski along the St. Lawrence Seaway. To make the datum accessible, permanent markers are established throughout the region. These markers, called benchmarks, have known elevations. If the...
161
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

85
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
85
Heuristics01:21

Heuristics

113
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
113
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

290
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
290

You might also read

Related Articles

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

Sort by
Same author

Heart rate optimizer: a novel bio-inspired metaheuristic algorithm.

Scientific reports·2026
Same author

Multi-objective optimization for 3D heterogeneous WSN deployment using an enhanced Genghis Khan shark algorithm.

Scientific reports·2026
Same author

First Isolation of Fusarium foetens from coriander in Palestine and preliminary evaluation of essential oils for its control.

Scientific reports·2026
Same author

Aescin and rutin mitigate hyperthyroidism-induced multisystem dysfunction via antioxidant and anti-inflammatory mechanisms in a rat model.

Scientific reports·2026
Same author

An integrated approach to unravel the deep-shallow aquifer connectivity in the Eastern Sahara.

Scientific reports·2026
Same author

Experimental investigation of diffusion flames with different baffle-plate air-hole diameters.

Scientific reports·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jul 27, 2025

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.6K

An efficient multilevel image thresholding method based on improved heap-based optimizer.

Essam H Houssein1, Gaber M Mohamed2, Ibrahim A Ibrahim2

  • 1Faculty of Computers and Information, Minia University, Minia, Egypt. essam.halim@mu.edu.eg.

Scientific Reports
|June 5, 2023
PubMed
Summary
This summary is machine-generated.

An improved heap-based optimizer (IHBO) enhances multilevel thresholding (MTH) image segmentation by reducing computational cost. IHBO demonstrates superior performance over other metaheuristic algorithms for accurate image segmentation.

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.7K
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

7.1K

Related Experiment Videos

Last Updated: Jul 27, 2025

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.6K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.7K
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

7.1K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Image Processing

Background:

  • Image segmentation separates image pixels into classes for object analysis.
  • Multilevel thresholding (MTH) requires optimal thresholds for effective segmentation.
  • Existing methods like Kapur entropy and Otsu method are computationally expensive for MTH.

Purpose of the Study:

  • To address the high computational cost of MTH image segmentation.
  • To improve the convergence rate and local search efficiency of the heap-based optimizer (HBO).
  • To introduce an improved heap-based optimizer (IHBO) for MTH problems.

Main Methods:

  • Developed an improved heap-based optimizer (IHBO) by integrating opposition-based learning with HBO.
  • Applied IHBO to MTH image segmentation using Otsu and Kapur methods as objective functions.
  • Evaluated IHBO performance on the CEC'2020 test suite against seven metaheuristic algorithms.

Main Results:

  • IHBO significantly outperformed benchmark algorithms in terms of fitness values.
  • IHBO achieved superior performance in structural similarity index (SSIM), feature similarity index (FSIM), and peak signal-to-noise ratio.
  • The proposed IHBO method demonstrated enhanced efficiency and accuracy for MTH image segmentation.

Conclusions:

  • The IHBO algorithm is a highly effective and efficient method for MTH image segmentation.
  • IHBO overcomes the computational cost limitations of traditional MTH techniques.
  • IHBO shows superiority over existing metaheuristic algorithms for image segmentation tasks.