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

Food for thought : The role of life cycle thinking in sustainable food system transitions.

EMBO reports·2026
Same author

Hemobilia secondary to ruptured cystic artery pseudoaneurysm: A complication of a retained biliary stent.

Hepatobiliary & pancreatic diseases international : HBPD INT·2026
Same author

A vouchered and georeferenced checklist of the endemic vascular plant species of the Lesser Sunda Islands highlights data deficiencies and threat levels.

PhytoKeys·2026
Same author

Transcriptome and Metabolome-Based Analysis Reveals the Molecular Mechanisms Underlying the Differences in Tanshinone and Salvianolic Acid Content Between <i>Salvia miltiorrhiza</i> Roots and Leaves.

Genes·2026
Same author

Fully covered metal biliary stents confer a higher risk of post-endoscopic retrograde cholangiopancreatography pancreatitis.

World journal of gastrointestinal pharmacology and therapeutics·2026
Same author

Double-hit primary high-grade gastric B-cell lymphoma presenting with pancytopaenia and atraumatic back pain: A case report.

World journal of gastrointestinal pharmacology and therapeutics·2026

Related Experiment Video

Updated: Apr 6, 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

43.9K

A Variable Order Fractional Differential-Based Texture Enhancement Algorithm with Application in Medical Imaging.

Qiang Yu1, Viktor Vegh2, Fawang Liu1

  • 1The School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Plos One
|July 18, 2015
PubMed
Summary
This summary is machine-generated.

A new Variable Order Fractional Centered Difference (VOFCD) method improves image texture enhancement by dynamically adjusting fractional orders. This technique offers superior results compared to fixed-order methods, especially for medical imaging applications.

More Related Videos

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

15.0K
Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.8K

Related Experiment Videos

Last Updated: Apr 6, 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

43.9K
X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging
08:30

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

15.0K
Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.8K

Area of Science:

  • Digital Image Processing
  • Medical Imaging Analysis
  • Computational Mathematics

Background:

  • Texture enhancement is crucial in digital image processing, particularly for medical imaging, where textures differentiate critical information.
  • Existing integral and fixed fractional order differential mask operators often lead to over-enhancement of low frequencies, under-enhancement of high frequencies, and noise retention.
  • The limitations of current methods necessitate the development of more adaptive and effective texture enhancement techniques.

Purpose of the Study:

  • To introduce an improved Variable Order Fractional Centered Difference (VOFCD) scheme for enhanced texture analysis and image processing.
  • To address the shortcomings of fixed fractional order methods in handling spatial frequency content and noise.
  • To evaluate the efficacy of the VOFCD technique in enhancing both grayscale and color images, including medical scans.

Main Methods:

  • Derivation of an improved Variable Order Fractional Centered Difference (VOFCD) scheme based on the second-order Riesz fractional differential operator.
  • Utilization of a Lagrange 3-point interpolation formula within the VOFCD framework for dynamic order adjustment.
  • Application of the VOFCD technique to enhance photographs and medical images (stroke, Parkinson's disease patients).

Main Results:

  • The VOFCD technique demonstrated a higher signal-to-noise ratio (SNR) compared to other fractional differential mask operators.
  • Quantitative analysis confirmed the superior performance of the VOFCD method in texture enhancement.
  • Experimental results showed effective enhancement of both general photographs and complex medical image data.

Conclusions:

  • The proposed Variable Order Fractional Centered Difference (VOFCD) method provides a significant advancement in image texture enhancement.
  • The dynamic adjustment of fractional differential orders allows for more precise and effective texture feature extraction and noise suppression.
  • The VOFCD technique offers superior texture enhancement capabilities, particularly beneficial for critical applications like medical image analysis.