Abstract
An ophthalmic fundus camera was modified for spectral imaging of the human retina. Spectral channels were separated using 30 narrow bandpass interference filters in the visual range from 400 to 700 nm. A monochrome digital charge-coupled device camera was used as a detector. Using this system, spectral fundus images were recorded from 72 voluntary human subjects: 55 diabetic patients and 17 healthy control subjects. Furthermore, using the gathered spectral data, optimal illuminations' spectral power distributions for the detection of different lesions of diabetic retinopathy and retinal landmarks (e.g., macula) were calculated. Optimized illuminations were found to enhance the visibility and contrast of retinal features. Computational example images are presented.
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 callDisclaimer: 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.
