Title of article :
RETINA FUNDUS IMAGE MASK GENERATION USING PSEUDO PARAMETRIC MODELING TECHNIQUE
Author/Authors :
AIBINU, A.M. International Islamic University Malaysia - Faculty of Engineering - Department of Mechatronics Engineering, Malaysia , SALAMI, M.J.E International lslamic University Malaysia - Faculty of Engineering - Mechatronics Department, Malaysia , SHAFIE, A.A. International Islamic University Malaysia - Faculty of Engineering - Department of Mechatronics Engineering, Malaysia
Abstract :
This paper discusses a new pseudo modeling technique for the generation of retina fundus image (RFI) mask. The model coefficients necessary for the generation of the mask has been estimated from the synaptic weights of real-valued neural network. Performance analysis of the newly proposed three step technique has been evaluated using DRIVE databases and other RFI obtained from other sources. he accuracy obtained by the application of the proposed technique on RFI contained in the DRIVE database varies between 99.62% and 99.97%.
Keywords :
Diabetes , Parametric Modeling Technique , Real , Valued Neural Network (RVNN) , Retina Fundus Image
Journal title :
IIUM Engineering Journal
Journal title :
IIUM Engineering Journal
