Presentation + Paper
21 August 2020 Development and testing of a stabilization and image processing system for improvement of mobile fundus camera image quality
Author Affiliations +
Abstract
The field of teleophthalmology has been expanding in recent years due to the development and advancement of mobile fundus cameras. Many of these devices involve taking a video of the retina using a smartphone coupled with an attachable lens system. Despite recent advances, the videos that are obtained with these devices can sometimes be difficult to use for clinical purposes. This is because the videos often have a small field of view and can include blurry frames and blinks. In order to improve the ease at which these videos can be obtained and interpreted, a stabilization system and Android application for processing these videos was created. This Android application is intended to exclude unusable video frames, and stitch together the remaining frames into a single image. The effectiveness of this application is tested using videos obtained with the D-EYE device. These images are then compared to clinical images, and images obtained from the DEYE without the image stitching application. In this study, the image quality of the stitched images was found to be worse than that obtained from a clinical device.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicole Barritt, Laurel Pilon, Alexander MacLean, Angela Lin, Allison Cole, Ibrahim Faruq, and Vasudevan Lakshminarayanan "Development and testing of a stabilization and image processing system for improvement of mobile fundus camera image quality", Proc. SPIE 11483, Novel Optical Systems, Methods, and Applications XXIII, 114830E (21 August 2020); https://doi.org/10.1117/12.2568116
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KEYWORDS
Image quality

Video

Image processing

Cameras

Video processing

Optic nerve

Retina

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