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

A novel image smoothing filter using membership function.

Tzong-Jer Chen1, Keh-Shih Chuang, Sharon Chen

  • 1Department of Medical Imaging Technology, Shu-Zen College of Medicine and Management, Luju Shiang, Kaohsiung, 82144, Taiwan.

Journal of Digital Imaging
|January 26, 2007
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

The Evolving Epidemiology of Invasive Pneumococcal Disease in Australian Children: A Multicentre Retrospective Observational Study.

Open forum infectious diseases·2026
Same author

The congenital heart early-career exchange programme: collaboration to advance faculty development.

Cardiology in the young·2026
Same author

A Phase 2, Open-Label, Multicenter Study of the Safety and Efficacy of TAK-007 in Adult Patients with Relapsed/Refractory B-cell Non-Hodgkin Lymphoma.

Blood cancer discovery·2026
Same author

Post-Transplant Quality of Life in Pediatric Heart Transplant Recipients and Their Parents: A Qualitative Analysis With Implications for Care.

Pediatric transplantation·2026
Same author

Two Decades of Multimodal Management of Colorectal Liver Metastases With Long-Term Outcomes.

ANZ journal of surgery·2026
Same author

Expanding the Audiological Phenotype Associated With Activity-Dependent Neuroprotective Protein (ADNP) Syndrome: A Case Report and Literature Review Suggesting a Genotype/Phenotype Correlation.

American journal of medical genetics. Part A·2026
Same journal

Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging·2023
Same journal

Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.

Journal of digital imaging·2023
Same journal

DMCA-GAN: Dual Multilevel Constrained Attention GAN for MRI-Based Hippocampus Segmentation.

Journal of digital imaging·2023
Same journal

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms.

Journal of digital imaging·2023
Same journal

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

Journal of digital imaging·2023
Same journal

External Validation of Robust Radiomic Signature to Predict 2-Year Overall Survival in Non-Small-Cell Lung Cancer.

Journal of digital imaging·2023
See all related articles

This study introduces a novel image noise smoothing algorithm using pixel membership information. The method effectively smooths images while preserving edges, with controllable smoothness via cluster number and window size.

Area of Science:

  • Computer Vision
  • Image Processing
  • Artificial Intelligence

Background:

  • Image noise significantly degrades visual quality and hinders subsequent analysis.
  • Existing smoothing algorithms often cause blurring, losing important image details like edges.
  • Effective noise reduction preserving image features remains a challenge in image processing.

Purpose of the Study:

  • To develop a new image noise smoothing algorithm that minimizes blurring.
  • To leverage pixel membership information for enhanced noise reduction.
  • To achieve edge enhancement alongside noise smoothing.

Main Methods:

  • Applied fuzzy c-means algorithm to cluster image pixels.
  • Defined a membership function representing pixel-to-cluster probability.

Related Experiment Videos

  • Utilized membership function as weights for a weighted sum of neighboring pixel values.

    • Main Results:

    • The proposed algorithm successfully smoothed noisy images.
    • Demonstrated edge enhancement capabilities in the smoothed images.
    • Showcased that image smoothness is controllable by adjusting cluster number and window size.

    Conclusions:

    • The novel algorithm effectively smooths images while preserving edges.
    • The fuzzy c-means based approach offers a controllable method for image noise reduction.
    • This technique provides a valuable tool for enhancing image quality in various applications.