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 Video

Updated: May 17, 2026

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

A rate-distortion-based merging algorithm for compressed image segmentation.

Ying-Shen Juang1, Hsi-Chin Hsin, Tze-Yun Sung

  • 1Department of Business Administration, Chung Hua University, Hsinchu City, Taiwan.

Computational and Mathematical Methods in Medicine
|November 3, 2012
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

An advanced multimodal image fusion model for accurate detection of Alzheimer's disease using MRI and PET.

Frontiers in medical technology·2025
Same author

Choice of Metric Divergence in Genome Sequence Comparison.

The protein journal·2024
Same author

Impact of general incidence function on three-strain SEIAR model.

Mathematical biosciences and engineering : MBE·2023
Same author

Protein sequence comparison based on representation on a finite dimensional unit hypercube.

Journal of biomolecular structure & dynamics·2023
Same author

Under nonlinear prey-harvesting, effect of strong Allee effect on the dynamics of a modified Leslie-Gower predator-prey model.

Mathematical biosciences and engineering : MBE·2023
Same author

Multi-Fractal Weibull Adaptive Model for the Remaining Useful Life Prediction of Electric Vehicle Lithium Batteries.

Entropy (Basel, Switzerland)·2023
Same journal

Correction to "Mathematical Modelling of COVID-19 Transmission in Kenya: A Model with Reinfection Transmission Mechanism".

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Ligustrazine Inhibits Lung Phosphodiesterase Activity in a Rat Model of Allergic Asthma.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Delivery of miR-224-5p by Exosomes from Cancer-Associated Fibroblasts Potentiates Progression of Clear Cell Renal Cell Carcinoma.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Empirical Analysis of the Nursing Effect of Intelligent Medical Internet of Things in Postoperative Osteoarthritis.

Computational and mathematical methods in medicine·2025
Same journal

RETRACTION: Evaluation and Analysis of the Intervention Effect of Systematic Parent Training Based on Computational Intelligence on Child Autism.

Computational and mathematical methods in medicine·2024
Same journal

RETRACTION: Humanistic Spirit Training of Medical Students Based on Multisource Medical Data Fusion.

Computational and mathematical methods in medicine·2024
See all related articles

This study introduces a novel JPEG2000 image segmentation method operating directly in the compressed domain. This approach reduces computational load and improves efficiency for image communication applications.

Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Image compression is essential for communication, but subsequent processing like segmentation requires decompression.
  • Decompressing images solely for segmentation introduces significant computational overhead.
  • Directly processing images in their compressed format offers a more efficient alternative.

Purpose of the Study:

  • To develop a method for segmenting images directly within the JPEG2000 compressed domain.
  • To eliminate the need for computationally intensive decompression before image segmentation.
  • To propose an efficient and effective compressed-domain image segmentation technique.

Main Methods:

  • A rate-distortion-based scheme for image segmentation.

Related Experiment Videos

Last Updated: May 17, 2026

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

  • Leveraging the binary arithmetic code table inherent in the JPEG2000 standard.
  • Ensuring the segmentation information is accessible at both the encoder and decoder without extra transmission.

    • Main Results:

    • Demonstrated feasibility of JPEG2000 compressed-domain image segmentation.
    • Achieved superior performance in terms of running time compared to traditional methods.
    • Quantitative evaluation showed favorable results using Probabilistic Rand Index (PRI) and Boundary Displacement Error (BDE).

    Conclusions:

    • The proposed rate-distortion-based scheme enables efficient image segmentation in the JPEG2000 domain.
    • The method avoids the computational cost of decompression, streamlining image processing workflows.
    • Experimental validation confirms the algorithm's effectiveness and efficiency for image communication.