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Related Experiment Video

Updated: Nov 27, 2025

In Vivo Dynamics of Retinal Microglial Activation During Neurodegeneration: Confocal Ophthalmoscopic Imaging and Cell Morphometry in Mouse Glaucoma
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Grey-Wolf-Based Wang's Demons for Retinal Image Registration.

Sayan Chakraborty1, Ratika Pradhan1, Amira S Ashour2

  • 1Department of Computer Applications, SMIT, Sikkim Manipal University, Sikkim 737136, India.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a Grey Wolf Optimizer (GWO)-based non-rigid demons registration for retinal images. The GWO framework demonstrated superior accuracy and faster processing than other optimization algorithms and demons methods.

Keywords:
correlationcuckoo searchdemons registrationfirefly algorithmgrey-wolf optimizationimage registration

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Optimization Algorithms

Background:

  • Image registration is crucial in medical imaging for accurate analysis.
  • Retinal image registration presents unique challenges due to non-rigid deformations.

Purpose of the Study:

  • To propose and evaluate a novel Grey Wolf Optimizer (GWO)-based non-rigid demons registration framework.
  • To compare the GWO-based approach against other metaheuristic algorithms and existing demons methods for retinal image registration.

Main Methods:

  • Implementation of a non-rigid demons registration algorithm optimized with the Grey Wolf Optimizer (GWO).
  • Comparative analysis of GWO-based demons registration against Cuckoo Search, Firefly Algorithm, and Particle Swarm Optimization.
  • Evaluation of GWO-optimized Wang's, Tang's, and Thirion's demons registration methods.

Main Results:

  • The GWO-based framework achieved a high correlation of 0.9977 and demonstrated faster processing times.
  • GWO-based Wang's demons exhibited superior accuracy and the lowest registration error (8.36 × 10-5) compared to Tang's and Thirion's demons.
  • The proposed GWO optimization significantly enhanced the performance of demons registration methods.

Conclusions:

  • The Grey Wolf Optimizer provides an effective and efficient method for optimizing non-rigid demons registration in medical imaging.
  • GWO-based Wang's demons registration is a highly accurate and robust technique for retinal image alignment.
  • This framework offers a promising advancement for precise medical image analysis and diagnosis.