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

Color Vision01:24

Color Vision

1.8K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.8K
Differential Staining Technique01:26

Differential Staining Technique

2.7K
Differential staining is an essential microbiological technique that exploits variations in cell wall structures to classify and identify microorganisms. It facilitates the distinction of bacteria, aiding in diagnostic and research applications. Two of the most widely used differential staining methods are Gram staining and acid-fast staining, both of which rely on the chemical and structural differences in bacterial cell walls.Gram Staining TechniqueGram staining differentiates bacteria by...
2.7K

You might also read

Related Articles

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

Sort by
Same author

FusionDiff: a dual-path diffusion-based framework for few-shot authenticity analysis of ceramic microstructures.

Scientific reports·2026
Same author

Trainable-parameter-free structural-diversity message passing for graph neural networks.

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

Simple yet effective heuristic community detection with graph convolution network.

Scientific reports·2025
Same author

Interface Engineering for Improved Large-Current Oxygen Evolution via Partial Phosphorization of Ce-MOF/NiCo-MOF Heterostructure.

Small (Weinheim an der Bergstrasse, Germany)·2024
Same author

Multi-UAV Cooperative Coverage Search for Various Regions Based on Differential Evolution Algorithm.

Biomimetics (Basel, Switzerland)·2024
Same author

Characteristics of refractive development in children aged 4 months to 8 years in urban China: A retrospective screening analysis.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2024
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: CNN Based Multiclass Brain Tumor Detection Using Medical Imaging.

Computational intelligence and neuroscience·2025
Same journal

RETRACTION: Distributed Scheduling Strategy of Virtual Power Plant Using the Particle Swarm Optimization Neural Network under Blockchain Background.

Computational intelligence and neuroscience·2025
See all related articles

Related Experiment Video

Updated: Mar 13, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.7K

Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution.

Zhongbo Hu1, Qinghua Su1, Xuewen Xia2

  • 1School of Information and Mathematics, Yangtze University, Jingzhou, Hubei 434023, China.

Computational Intelligence and Neuroscience
|October 15, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new multiobjective model for image color quantization, optimizing intracluster distance and intercluster separation. A novel algorithm, MoDE-CIQ, effectively addresses this complex problem, enhancing image processing techniques.

More Related Videos

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K

Related Experiment Videos

Last Updated: Mar 13, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.7K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K

Area of Science:

  • Computer Vision
  • Image Processing
  • Optimization Algorithms

Background:

  • Image color quantization traditionally treated as a single-objective problem.
  • Heuristic algorithms have been applied, but with limitations.
  • Need for advanced models to capture multiple optimization goals.

Purpose of the Study:

  • Establish a multiobjective image color quantization model.
  • Optimize intracluster distance and intercluster separation simultaneously.
  • Develop an effective algorithm to solve the proposed model.

Main Methods:

  • Proposed a multiobjective model for image color quantization.
  • Introduced a self-adaptive hybrid differential evolution algorithm (MoDE-CIQ).
  • Algorithm inspired by multipopulation concepts for enhanced performance.

Main Results:

  • MoDE-CIQ demonstrated effectiveness in solving the multiobjective model.
  • Numerical experiments validated the algorithm's competitiveness.
  • Analysis on common test images confirmed the model's utility.

Conclusions:

  • The multiobjective approach provides a more comprehensive solution for image color quantization.
  • The MoDE-CIQ algorithm is a viable and competitive method for this task.
  • This work advances image processing by offering a robust optimization framework.