Abstract:
Age related macular degeneration (ARMD) is an eye related disease which is caused due to
deposits of bright lesions called drusen. Drusen are formed at retinal level and could affect
eyesight as well. More severe form of ARMD can end up in complete loss of vision which is
irreversible. Many research’s’ have been done in the field of medical care. Lots of researchers
are also focusing on introducing automated detection systems for retinal diseases as well. Early
diagnosis of drusen with the help of automatic system can save vision loss. This system could
really be useful for ophthalmologists for screening of ARMD. This paper basically presents a
novel method for detection of drusen from colored retinal images. Filter bank has been used to
separate drusen regions and eradicates undesired regions which could be mistaken as drusen
because of their bright appearance on fundus image. LS-SVM classifier is used to distinguish
drusen regions and non drusen regions. This is done with the help of feature vector i.e. each
region is represented by a number of features. The performance of the proposed system is
estimated using performance measures like accuracy, sensitivity and specificity. STARE
database was used to evaluate the results. The competence of given system is calculated by doing
comparison with previous methods.
