Direct Cum Video Ophthalmoscopic System with Digital Image Processing Techniques

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Published: 2021-11-18

Page: 199-208


Abhinav V. Deshpande *

School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Vellore Campus, Tiruvalam Road, Katpadi, Vellore, Tamil Nadu (T.N.)-632014, India.

*Author to whom correspondence should be addressed.


Abstract

Nowadays the medical technology is growing very fast, demanding faster, efficient and economical improvement in medical techniques. This research paper presents a low cost, portable direct cum video ophthalmoscopic system which can work alone as well as with the video system. It gives an upgradable result with the use of digital image processing incorporated in it. It is used to study the human eye and diagnose the eye diseases. This system provides visualization by the doctor as well as when by using video camera and thus allows for viewing the real time image on the display screen.

Keywords: Camera, digital image processing, LED, Lens


How to Cite

Deshpande, A. V. (2021). Direct Cum Video Ophthalmoscopic System with Digital Image Processing Techniques. Asian Research Journal of Current Science, 3(1), 199–208. Retrieved from https://globalpresshub.com/index.php/ARJOCS/article/view/1343

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References

Digvijay Singh. Understanding your direct ophthalmoscope. Delhi Journal of Ophthalmology (DJO). 2011;21(3):67-75.

George T. Timberlake, Ph.D. Department of Ophthalmology. The Direct Ophthalmoscope How it Works and How to use it. 2005, International Journal of Ophthalmic and Video Imaging Techniques (IJOVIT). 2014;7(4):45-57.

Anjul Maheshwari, David R. Williams. Learning optics using vision. International Journal of Image Processing and Computer Vision (IJIPCV). 2015;6(3):34-42. Available: http://www.yorku.ca/eye/opthal.htm Available: http://www.oft.gu.se/webdiagnos/oft/oft.html

Neha N. Gaikwad, Pravinkumar R. Badadapure. Image processing technique for hard exudates detection for diagnosis of diabetic retinopathy. International Journal of Recent and Innovation Trends in Computing and Communication (IJRITCC), 2015;3(4):2097-2100. Available: http://en.wikipedia.org/wiki/Heat_sink Available: http://en.wikipedia.org/wiki/CMOS

Niall Patton, Tariq M. Aslam, Thomas MacGillivray, Ian J. Deary, Baljean Dhillon, Robert H. Eikelboom, Kanagasingam Yogesan, Ian J. Constable. Retinal image analysis: Concepts, applications and potential. Elsevier-Progress in Retinal and Eye Research. 2006;25(12):99-127.

Deepashri KM, Santhosh KV. Glaucoma detection by image fusion from fundus color retinal images: A review. International Journal of Pattern Recognition in Digital Images (IJPRDI). 2015;8(3):1147-1152.

William M. Haining. Video Fundusscopy and Fluoroscopy. British Journal of Ophthalmology (BJP). 1981;7(4):702- 706.

Sinha A, Saxena R, Sethi H, Turaka K. Handheld digital camera for digital video recording in ophthalmic surgery. International Journal of Ophthalmology (IJO). 2006;54(1): 53-57.