Fundus images contain extensive health information. However, patients hardly obtain their fundus images by themselves. Although glare-free infrared (IR) imaging enables easy acquisition of fundus images, it is monographic and challenging to process in real-time in response to high-speed and involuntary fixational eye movement and in vivo blurring. Therefore, we propose applying our IR color technology and providing clear fundus images by high-speed tracking of involuntary fixational eye movements and eliminating in vivo blurs by deconvolution. We tested whether the proposed camera system was applicable in medical prac-tice and capable of medical examination. We verified the IR color fundus camera system could detect oph-thalmological and lifestyle-related diseases.
All Science Journal Classification (ASJC) codes
- General Computer Science
- Electrical and Electronic Engineering