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An image based auto-focusing algorithm for digital fundus photography.

Michele Moscaritolo1, Henry Jampel, Frederick Knezevich

  • 1Wilmer Eye Institute, Johns Hopkins UniversitySchool of Medicine, Baltimore, MD 21287, USA. michele@jhmi.edu

IEEE Transactions on Medical Imaging
|April 16, 2009
PubMed
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A new auto-focus (AF) algorithm reliably identifies the best focus in digital fundus photography. This software may enhance image quality by simplifying the photographer's task.

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Fine focusing in fundus photography is challenging, often leading to suboptimal images.
  • Digital cameras offer potential for automated focusing solutions.

Purpose of the Study:

  • To develop and evaluate a software algorithm for automatic image focusing in fundus photography.
  • To assess the reliability and objectivity of the auto-focus (AF) algorithm in identifying the best focus.

Main Methods:

  • A novel sharpness assessment algorithm was developed for auto-focus (AF).
  • The AF algorithm was tested in a prototype semi-automated nonmydriatic fundus camera.
  • Images were acquired from normal subjects and glaucoma patients, with AF-determined focus compared to masked reader assessments.

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Main Results:

  • The AF algorithm demonstrated reliable and objective best focus identification.
  • Agreement between AF and human readers was within 3/4 diopter on average.
  • Intraobserver repeatability of readers was comparable to the agreement limits with the AF algorithm.

Conclusions:

  • The auto-focus algorithm reliably and objectively identifies the best focus in digital fundus photography.
  • Implementation of this AF algorithm can potentially improve fundus image quality.
  • Automated focusing simplifies the task for photographers in primary care screening settings.