title: Retinal imaging analysis based on vessel detection.
abstract: With an increase in the advancement of digital imaging and computing power, computationally intelligent technologies are in high demand to be used in ophthalmology cure and treatment. In current research, Retina Image Analysis (RIA) is developed for optometrist at Eye Care Center in Management and Science University. This research aims to analyze the retina through vessel detection. The RIA assists in the analysis of the retinal images and specialists are served with various options like saving, processing and analyzing retinal images through its advanced interface layout. Additionally, RIA assists in the selection process of vessel segment; processing these vessels by calculating its diameter, standard deviation, length, and displaying detected vessel on the retina. The Agile Unified Process is adopted as the methodology in developing this research. To conclude, Retina Image Analysis might help the optometrist to get better understanding in analyzing the patient's retina. Finally, the Retina Image Analysis procedure is developed using MATLAB (R2011b). Promising results are attained that are comparable in the state of art.
authors.affiliation: Faculty of Information Sciences & Engineering, Management and Science University, Shah Alam, Selangor, Malaysia.
authors.forename: Arshad
authors.initials: A
authors.lastname: Jamal
authors.affiliation: Faculty of Information Sciences & Engineering, Management and Science University, Shah Alam, Selangor, Malaysia.|Researcher, Center of Scientific Research and Development Nawroz University Kurdistan Region, Iraq.
authors.forename: Mohammed
authors.initials: M
authors.lastname: Hazim Alkawaz
authors.affiliation: College of Computer and Information Systems Al-Yamamah University Riyadh 11512, Saudi Arabia.
authors.forename: Amjad
authors.identifier: http://orcid.org/0000-0002-3817-2655
authors.initials: A
authors.lastname: Rehman
authors.affiliation: College of Computer and Information Sciences Prince Sultan University Riyadh 11586, Saudi Arabia.
authors.forename: Tanzila
authors.initials: T
authors.lastname: Saba
mesh_terms: D000465:Algorithms; D005654:Fundus Oculi; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D057972:Posterior Eye Segment / Q000033:anatomy & histology / Q000098:blood supply; D012160:Retina / Q000033:anatomy & histology*; D012171:Retinal Vessels / Q000033:anatomy & histology*
keywords: edge detection and vessel detection; fundus image; retinal; segmentation