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 Experiment Videos

Pixon-based image segmentation with Markov random fields.

Faguo Yang1, Tianzi Jiang

  • 1National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 5, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Functional Brain Network Predictors of Abstinence Treatment Outcomes in Methamphetamine Use Disorder.

CNS neuroscience & therapeutics·2026
Same author

Measuring the Impacts of Urbanicity and Different Exposome Factors on Human Brain through Exposure Network Mapping.

Neuroscience bulletin·2026
Same author

Homologous specialization of arcuate fasciculus ventrolateral frontal connectivity in marmosets and humans.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Digital twin brain reveals state-specific stimulation targets for abnormal brain dynamics in tinnitus.

BMC medicine·2026
Same author

Lysergic acid diethylamide-derived excitatory/inhibitory ratio change enhances global synchrony in functional brain dynamics.

PLoS computational biology·2025
Same author

Cross-Species Cortical Geometry Reveals Conserved Gradients Across Primates and Human-Specific Expansion.

bioRxiv : the preprint server for biology·2025
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

This study introduces a new pixon-based adaptive scale method for image segmentation. The novel approach significantly reduces computational costs while maintaining effective image segmentation performance.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Imaging

Background:

  • Image segmentation is crucial for image analysis.
  • Existing methods like pixel-based Markov Random Field (MRF) algorithms can be computationally expensive.
  • There is a need for efficient and effective image segmentation techniques.

Purpose of the Study:

  • To propose a novel pixon-based adaptive scale method for image segmentation.
  • To improve computational efficiency compared to traditional methods.
  • To introduce a new pixon scheme suitable for image segmentation.

Main Methods:

  • A pixon-based image model is combined with a Markov random field (MRF) model within a Bayesian framework.
  • A new pixon scheme is developed, utilizing the anisotropic diffusion equation for pixon formation.

Related Experiment Videos

  • The method employs an adaptive scale approach for segmentation.

    • Main Results:

    • The proposed pixon-based adaptive scale method demonstrates effective image segmentation.
    • Experimental results show a dramatic decrease in computational costs compared to pixel-based MRF algorithms.
    • The new pixon scheme is shown to be more suitable for image segmentation than the 'fuzzy' pixon scheme.

    Conclusions:

    • The novel pixon-based adaptive scale method offers a computationally efficient alternative for image segmentation.
    • This approach integrates pixon modeling with MRF under a Bayesian framework for improved performance.
    • The developed technique advances image analysis by providing a faster and effective segmentation solution.