Glaucoma is a blindness causing eye disease. Rising of intraocular pressure within the eye is the main aetiology.
Glaucoma detection is one of the crucial tasks for ophthalmologists. The pressure on eye cells increases with the use of mobile
phones, video games in the daily life of human beings. This paper is basically extension of my work on glaucoma detection
different techniques approach. We will also understand approaches as Image processing ,fundus image, cross validation ,
machine learning , CDR on Morphology and Hough Based Technique. Fundus images obtained from fundus camera have been
used for the analysis. CDR technique is used on different retinal image for glaucoma detection. Further, analysis of CDR is
carried out using different colour channel combinations of the fundus images.
