LabVIEW based assessment of CDR for the detection of Glaucoma

Image processing and analysis has great significance in the field of medicine, especially in non-invasive treatment and clinical study. Glaucoma is a group of diseases, which damage eye's optic nerve that leads to blindness. Glaucoma usually has no early symptoms, and by the time people experience problems with their vision, they usually have lost a significant amount of their sight. The structural change observed in the retinal fundus images of Glaucoma affected individuals is enlargement of cup. Normally fundus images are manually graded by specially trained clinicians in a time-consuming and resource-intensive process. The ratio of the diameters or areas of the cup and disc (CDR) is widely used indicator for the assessment of glaucoma. The authors proposed a novel algorithm to detect glaucoma from color fundus images. The algorithm locates cup and disc on fundus images using circular fitting techniques and measures the diameter and area of cup and disc of the retina. To simulate the algorithm vision assistant in LabVIEW software is used.