A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated lesion detection in retinal images
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
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Glaucoma is a leading cause of permanent blindness. Retinal fundus image examination is useful for early detection of glaucoma. In order to evaluate the presence of glaucoma, the ophthalmologist may determine the cup and disc areas and diagnose glaucoma using a vertical cup-to-disc ratio. However, determination of the cup area is very difficult, thus we propose a method to measure the cup-to-disc ratio using a vertical profile on the optic disc. The edge of optic disc was then detected by use of a canny edge detection filter. The profile was then obtained around the center of the optic disc in the vertical direction. Subsequently, the edge of the cup area on the vertical profile was determined by thresholding technique. Lastly, the vertical cup-to-disc ratio was calculated. Using seventy nine images, including twenty five glaucoma images, the sensitivity of 80% and a specificity of 85% were achieved with this method.