Abstract
The underlying motive resting with the current investigation is invested in designing a superior recognition system for locating the fovea region from the retinal image by significantly steering clear of the roadblocks encountered at present. The significant scheme streams through three specific processes particularly, blood-vessel segmentation, optic-disc detection, fovea detection and ARMD disease classification. In the initial stage, the retinal images are enhanced with the help of AHE approach and then segmented by adaptive-watershed technique. The successive stage opens up with recognition of optic-disc by means of MRG system. And, in the last stage, the fovea region is effectively spotted with the help of OBMFCM technique. Along with the fovea-region segmentation, analysis is made for the classification of dry/wet ARMD with SVM classifier. The record-breaking technique is performed in the platform of MATLAB2014 and its charismatic upshots are assessed and contrasted with those of the parallel fovea recognition approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Biomedical Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
