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

Introduction to Scalers01:21

Introduction to Scalers

Many familiar physical quantities can be specified completely by giving a single number and the appropriate unit. For example, "a class period lasts 50 min," or "the gas tank in my car holds 65 L," or "the distance between the two posts is 100 m." A physical quantity that can be specified completely in this manner is called a scalar quantity. The word "scalar" is a synonym for "number." Time, mass, distance, length, volume, temperature, and energy are some examples of scalar quantities.
Scalar...
Transformations of Functions II01:29

Transformations of Functions II

Transformations in mathematics alter the position or orientation of a function’s graph while preserving its fundamental shape. One important type of transformation is the horizontal shift, which involves modifying the input variable within a function’s equation. This operation affects where outputs occur along the horizontal axis but does not alter the function’s overall structure.A horizontal shift is achieved by replacing the input variable x with either x + c or x - c, where c is a constant.

You might also read

Related Articles

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

Sort by
Same author

Impact of a Prototype Combining Recommender Functionality With Structured Documentation on Operator Performance in Calls to Medical Communication Centers: Quasi-Experimental Feasibility Study.

JMIR formative research·2026
Same author

Multispectral Blood Cell Image Analysis via Deep Learning With YOLOv5.

Journal of biophotonics·2025
Same author

Preclinical characterization and phase 1 results of ADG106 in patients with advanced solid tumors and non-Hodgkin's lymphoma.

Cell reports. Medicine·2024
Same author

The association between methylmalonic acid, a biomarker of mitochondrial dysfunction, and risk of prostate cancer.

International urology and nephrology·2024
Same author

Image-fusion-based object detection using a time-of-flight camera.

Optics express·2024
Same author

Least squares reverse time migration imaging with illumination preconditioned based on improved PRP conjugate gradients.

Scientific reports·2023
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
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: May 27, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Scale- and rotation-invariant local binary pattern using scale-adaptive texton and subuniform-based circular shift.

Zhi Li1, Guizhong Liu, Yang Yang

  • 1Sigpro Laboratory, School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China. lizhi1030@mail.xjtu.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 4, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel scale- and rotation-invariant local binary pattern (LBP) for texture classification. The new LBP feature, using scale-adaptive textons and subuniform patterns, shows strong discrimination capabilities for robust texture analysis.

Related Experiment Videos

Last Updated: May 27, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Texture classification is crucial in image analysis.
  • Traditional Local Binary Patterns (LBP) lack scale and rotation invariance.
  • Existing methods often overlook global spatial information.

Purpose of the Study:

  • To propose an effective scale- and rotation-invariant Local Binary Pattern (LBP) feature.
  • To enhance texture classification accuracy and robustness.
  • To address limitations of traditional LBP in handling scale and rotation variations.

Main Methods:

  • A scale-adaptive texton is defined using a circular neighboring set and scale space derived by Laplacian of Gaussian.
  • Optimal scale for each pixel is determined to achieve scale invariance.
  • Subuniform patterns are introduced for improved discrimination, with dominant orientation subuniform patterns identified and circularly shifted.

Main Results:

  • The proposed scale- and rotation-invariant LBP demonstrates good discrimination capability in texture classification.
  • LBP based on scale-adaptive textons proves effective for scale-invariant texture description.
  • Circular shift subuniform LBP further enhances performance in rotation-invariant texture classification.

Conclusions:

  • The developed LBP feature offers a powerful approach for scale- and rotation-invariant texture classification.
  • Scale-adaptive textons are key to achieving scale invariance.
  • Subuniform pattern enhancements improve discriminative power and rotation invariance.