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

Deconvolution01:20

Deconvolution

247
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
247

You might also read

Related Articles

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

Sort by
Same author

Soil fungal diversity and plant resilience under the dual stress of microplastics and heavy metals: A comparative study of lettuce and green onion.

Ecotoxicology (London, England)·2026
Same author

Concurrent elimination of antibiotics and resistant bacteria for effective antibiotic resistance genes control: a photocatalytic strategy enabled by ion-exchange-confined strong metal-support interaction.

Journal of colloid and interface science·2026
Same author

Multi-Ion Channel Nanomedicines Targeting Zinc Transporter 1/ATPase Copper Transporters Disrupt Copper/Iron Homeostasis to Enhance Tumor Immunotherapy.

ACS nano·2026
Same author

Single-Cell and Bulk Transcriptomic Integration Reveals a Stemness-Related Astrocyte Subpopulation for Prognostic Risk Stratification in Glioblastoma.

Current medicinal chemistry·2026
Same author

Knowledge Mapping of Exosomes in Glioblastoma: A Bibliometric Analysis From 2006 to 2025.

The Journal of craniofacial surgery·2026
Same author

Integrating systemic inflammation biomarker and clinical predictors for surgical site infection risk assessment in closed pilon fractures: A risk prediction model.

PloS one·2026

Related Experiment Video

Updated: Sep 10, 2025

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

43.0K

Placido Sub-Pixel Edge Detection Algorithm Based on Enhanced Mexican Hat Wavelet Transform and Improved Zernike

Yujie Wang1, Jinyu Liang1, Yating Xiao1

  • 1School of Information and Communication Engineering, North University of China, Taiyuan 030051, China.

Journal of Imaging
|August 27, 2025
PubMed
Summary

This study introduces a new sub-pixel edge detection algorithm for corneal topography. The enhanced algorithm significantly improves the accuracy of detecting the corneal Placido ring edge, reducing errors by over 67%.

Keywords:
Mexican hat wavelet transformPlacido imageZernike momentsedge detectionsub-pixel

More Related Videos

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

7.8K
Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.4K

Related Experiment Videos

Last Updated: Sep 10, 2025

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

43.0K
Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

7.8K
Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.4K

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Accurate corneal topographic reconstruction requires high-precision localization of the corneal Placido ring edge.
  • Existing edge detection algorithms often lack the necessary precision for detailed corneal analysis.

Purpose of the Study:

  • To develop a sub-pixel edge detection algorithm for precise corneal Placido ring edge identification.
  • To enhance the accuracy and robustness of edge detection in corneal topographic imaging.

Main Methods:

  • Employed a multi-scale and multi-position enhanced Mexican Hat Wavelet Transform for initial edge processing.
  • Utilized improved Zernike moments for precise edge point relocation using a 9x9 template.
  • Implemented two adaptive edge threshold algorithms for final sub-pixel edge point determination.

Main Results:

  • The proposed algorithm achieved an average sub-pixel edge error of 0.094 pixels.
  • This represents a significant reduction compared to existing algorithms, which had an average error of 0.286 pixels.
  • Demonstrated strong robustness against image noise.

Conclusions:

  • The novel algorithm effectively meets high-precision location requirements for corneal Placido ring edge detection.
  • Offers superior accuracy and noise resilience for corneal topographic reconstruction.
  • Provides a valuable tool for advanced ophthalmic imaging analysis.