Classification of eye diseases using optic cup segmentation and optic disc ratio and its implementation using VHDL

Abstract

The proposed work consists reprocessing using morphological operations and then segmentation of optic disc and optic cup by using the morphological operations. These operations are minimizing errors detection limit of the optic disc due to blood vessels cross. Then, the cup to disc ratio (CDR) is calculated using these operations. The cup to disc ratio is more than 0.3 then patients are glaucoma otherwise normal. Spatially Weighted Fuzzy C Mean (SWFCM) clustering method is used to segment the optic disc and Superpixel algorithm is used to segment the optic cup. The segmented optic disc and cup are then used to compute the CDR for glaucoma screening. Optic disc and cup segmentation of fundus image are considered for Diabetic Retinopathy Detection and Glaucoma detection. In this paper, we are considering one simple image and its part will be implemented by using VHDL family Altra Quartus II, which is a programmable logic device design software produced by Altera. Quartus II enables analysis and synthesis of HDL designs, which enables the developer to compile their designs, perform timing analysis, examine RTL diagrams, simulate a design's reaction to different stimuli, and configure the target device with the programmer. Quartus includes an implementation of VHDL and Verilog for hardware description, visual editing of logic circuits, and vector waveform simulation. The implemented results using MATLAB shows accurate results obtained both for diabetic retinopathy as well as glaucoma.