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

You might also read

Related Articles

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

Sort by
Same author

Impact of Smart Hearing Aid Technology on Self-Esteem in Patients with Sensorineural Hearing Loss: A Cross-Sectional Multivariate Study.

Healthcare (Basel, Switzerland)·2026
Same author

Accuracy of Digital Photography and Intraoral Scanning for Tooth Shade Selection in Digital Prosthodontics: A Comparative Clinical Study Using Spectrophotometry as Reference.

Dentistry journal·2026
Same author

Digital Engagement in Diabetes Care: A Multi-Domain Analysis of Psychosocial and Clinical Determinants.

Healthcare (Basel, Switzerland)·2026
Same author

Health-Related Quality of Life in Pregnancy Associated with Psychological Distress.

Medicina (Kaunas, Lithuania)·2026
Same author

Artificial intelligence in emergency department triage: perspective of human professionals.

Frontiers in digital health·2026
Same author

Health-Related Quality of Life and Anxiety Levels in Pregnant Women with and Without Associated Pathologies.

Journal of clinical medicine·2025

Related Experiment Video

Updated: Apr 12, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K

Content based image retrieval using local binary pattern operator and data mining techniques.

Oana Astrid Vatamanu1, Mirela Frandeş1, Diana Lungeanu1

  • 1Department of Functional Sciences/Medical Informatics and Biostatistics, University of Medicine and Pharmacy Timisoara, Romania.

Studies in Health Technology and Informatics
|May 21, 2015
PubMed
Summary

This study introduces an optimized content-based image retrieval (CBIR) method using Local Binary Patterns (LBP) for feature extraction. The approach enhances image indexing in medical databases, improving retrieval accuracy compared to traditional techniques.

More Related Videos

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.8K

Related Experiment Videos

Last Updated: Apr 12, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.8K

Area of Science:

  • Computer Science
  • Medical Imaging
  • Image Processing

Background:

  • Content-based image retrieval (CBIR) relies on image feature vectors for similarity searches.
  • Existing methods often use global features, which may not capture local image details effectively.

Purpose of the Study:

  • To define feature vectors using the Local Binary Pattern (LBP) operator for CBIR.
  • To determine the optimal LBP variant for general image feature vector definition.
  • To optimize image indexing using data clustering for enhanced retrieval.

Main Methods:

  • Utilized the Local Binary Pattern (LBP) operator for feature vector extraction.
  • Selected an optimal LBP variant through a comparative study.
  • Implemented data clustering techniques for image indexing within ultrasound and Wireless Capsule Endoscopy databases.

Main Results:

  • The proposed LBP-based feature vector definition and clustering method were applied to medical image databases.
  • The performance of the new indexing method was evaluated against classical indexing techniques.

Conclusions:

  • The Local Binary Pattern (LBP) operator provides an effective means for defining image feature vectors in CBIR.
  • Optimized LBP variants and clustering techniques enhance image indexing and retrieval in specialized medical image databases.