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Automated Ocular Localization in Thermographic Sequences of Contact Lens Wearer

  • Jen-Hong TanEmail author
  • E. Y. K. Ng
  • Acharya U Rajendra 
  • Jasjit S. Suri
Chapter

Abstract

Nowadays, infrared (IR) imaging is widely used in the detection of breast cancer, eye abnormalities, impotency, and blood flow in the muscles. An algorithm to correctly localize the eye and cornea in IR thermogram of contact lenser using gradient vector flow (GVF) snake coupled with target tracking function was used in a sequence of thermogram images. The target tracking function helps to locate the eye automatically and increases the accuracy of detection. Genetic algorithm helps to identify the local minima in the target function. In this work, we have used 46 ocular thermographic sequence of normal contact lens wearer (aged from 16 to 20 years) and the proposed method is able to automatically identify correctly the eye and cornea with an accuracy of 92%.

Keywords

Ocular Surface Infrared Thermography Initial Contour Contact Lens Wearer Gradient Vector Flow 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Jen-Hong Tan
    • 1
    Email author
  • E. Y. K. Ng
  • Acharya U Rajendra 
  • Jasjit S. Suri
  1. 1.School of Mechanical and Aerospace Engineering, College of EngineeringNanyang Technological UniversitySingaporeSingapore

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