Development of primary glaucoma classification technique using optic cup & disc ratio

Abstract

Glaucoma is Eye dieses & one of the leading causes of blindness worldwide. It is due to the increase in intra ocular pressure within the eyes. The detection and diagnosis of glaucoma is very important. Here we present an algorithm which works on two different data base for the same purpose to calculate optic cup to disc ratio. For this purpose we use DRIONS-DB high resolution fundus images. From these high resolution RGB images we are going from preprocessing to ROI extraction steps i.e. our optic disc & cup detection. For that purpose we use K-means clustering for detection & measure area of disc & cup then, calculate ratio. After calculating ratio we apply that same method on another database i.e. RIM-I 64 healthy images & we got healthy CDR between 0.2 to 0.6. By the combination of two data base DRIONS-DB & RIM-Il, overall 97% result is achieved.

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Cite this paper

@article{Patil2015DevelopmentOP, title={Development of primary glaucoma classification technique using optic cup & disc ratio}, author={Dnyaneshwari D. Patil and Ramesh R. Manza and Gangadevi C. Bedke and Dipali D. Rathod}, journal={2015 International Conference on Pervasive Computing (ICPC)}, year={2015}, pages={1-5} }