A novel JAYA algorithm for optic disc localisation in eye fundus images

Abstract

Retinal images are extensively used for the disclosure of retinal vascular disorders like diabetic retinopathy, glaucoma, age-related macular degeneration and optic neuritis. The analysis of a diagnostic retinal image using a computer is necessary to ease the optometrist for automating the load screening mechanism to identify these disorders. The primary step in technology aided diagnoses is optic disc segmentation and it is considered as an interesting search problem. The proposed methodology involves pre-processing of fundus images and optic disc localisation using Jaya algorithm. A new fitness function is proposed in order to improve the accuracy of the optic disc localisation. The efficiency of the proposed methodology is examined on different datasets such as DIARETDB1, DIARETDB0, CHASEDB1, DRIONS and DRIVE. The results infer that the proposed methodology has achieved a 99% of location accuracy and shows its superiority in localising the optic disc by comparing it with existing literature.