An Efficient Automated Algorithm to Detect Ocular Surface Temperature on Sequence of Thermograms Using Snake and Target Tracing Function

Authors:
Jen Hong Tan;E. Y. Ng;Rajendra Acharya U
Affiliations:
School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore, Singapore 639798 and Adjunct NUH Scientist, Office of Biomedical Research, Nati ...;Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Clementi, Singapore
Venue:
Journal of Medical Systems
Year:
2011

Citing 6
Cited 0

Active vision

Active vision
On the optimal detection of curves in noisy pictures

Communications of the ACM
Object detection by global contour shape

Pattern Recognition
Analysis of Normal Human Eye with Different Age Groups using Infrared Images

Journal of Medical Systems
Automated study of ocular thermal images: Comprehensive analysis of corneal health with different age group subjects and validation

Digital Signal Processing
Snakes, shapes, and gradient vector flow

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Functional infrared (IR) imaging is widely adopted in medical field nowadays, with more emphasis on breast cancer and ocular abnormalities. In this article, an algorithm is presented to accurately locate the eye and cornea in ocular thermographic sequences, which were recorded utilizing functional infrared imaging. The localization is achieved by snake algorithm coupled with a newly proposed target tracing function. The target tracing function enables automated localization, allows the absence of any manual assistance before the algorithm runs. Genetic algorithm is used to perform the search for global minimum on the function to produce desired localization. On all the cases we have studied, in average the region encircled by the algorithm covers 92% of the true ocular region. As for the non-ocular region covered, it only accounts for less than 5% of the encircled region.