Automated Detection of Neovascular Glaucoma through Fractal Dimension Method

This paper investigates the development of digital image analysis method for diagnosing neovascular glaucoma. The conventional ophthalmologist approach attracts some drawbacks such as lot of human involvement that leads to inaccuracy, time consuming and chances of creeping of human errors. Hence to avoid above mentioned drawbacks, this research work is undertaken to diagnose neovascular glaucoma by using image feature namely Fractal Dimension (FD). Fractal dimension found for the healthy retinopathy in the range of 0.98 to 1.61 where as for neovascular glaucoma above 1.61 to 1.99. the results of present work emphasizes that there is a great potential in the use of fractal dimension for diagnosing neovascular glaucoma for ophthalmologist with very minimum manual error. The final results of this research work will contributes to make retinal image properties computation automatic which will helps to ophthalmology doctors in healthy and unhealthy retinal image classification.