Ali S Saad Author

Research Article Subscription

Computer Aided Diagnostic of Dry Eye: Toward an Automatic Diagnosis from Noisy Tear Ferning Images

Author(s):

Ali S Saad

This work focuses on the use of digital image analysis for automatic diagnose of Dry Eye. Recently, scaling of tear ferning images been used to diagnose dry eye. A classification approach in wavelet space is proposed as an initial step toward an automatic diagnose of dry eye. Correlation coefficient, in wavelet space, between a reference image and unclassified noisy tear ferning image, at different level of wavelet decomposition is used as classifier. The noise in the images has a great impact on the value of the correlation coefficient (CF). The noise reduction using wavelet technics at different level of wavelet decomposition (WD) provides a strong improvement for the classification (diagnose) of tear ferning noisy images. A set of reference image represen... view more»

DOI: 10.4172/2469-5653.1000116

Abstract HTML PDF