DocumentCode :
166331
Title :
Automatic diagnosis of astigmatism for Pentacam sagittal maps
Author :
Hasan, Sarah Ali ; Singh, Monika
Author_Institution :
EIED, Thapar Univ., Patiala, India
fYear :
2014
fDate :
24-27 Sept. 2014
Firstpage :
472
Lastpage :
478
Abstract :
Astigmatism is very common eye disorder, which coexist with other refractive errors. Two third of the population worldwide who have myopia has astigmatism as well. Many diagnostic methods to detect these visual disorders have been developed in the last 10 years. Most of them are computer based techniques for better accuracy and fast response. In this paper an image processing based method for diagnosing astigmatism and classifying its types has been presented. The proposed technique is implemented on sagittal maps from latest topographic instruments.
Keywords :
diseases; eye; medical image processing; patient diagnosis; shape recognition; automatic astigmatism diagnosis; computer based techniques; eye disorder; image processing based method; pentacam sagittal maps; refractive errors; topographic instruments; Classification algorithms; Cornea; Lenses; Shape; Surface morphology; Surface topography; Astigmatism diagnosis; Corneal Topography; Shape recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-3078-4
Type :
conf
DOI :
10.1109/ICACCI.2014.6968539
Filename :
6968539
Link To Document :
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