Computer Graphics, Imaging and Visualisation (CGIV 2007) (2007)
Aug. 14, 2007 to Aug. 17, 2007
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2007.16
Raghu Raj P. , PES Institute of Technology, India
Gurudatha Pai K. , PES Institute of Technology, India
S. S. Shylaja , PES Institute of Technology, India
The Fundus images of retina of human eye can provide valuable information about human health and open up a window of unforeseeable opportunities. In this respect, one can systematically assesses digital retinal photographs, to predict chronic diseases. This eliminates the need for manual assessment of ophthalmic images in diagnostic practices. It is also possible to detect certain type of cancers and cataract in their early stages in addition to diseases like hypertension, stroke and serious organ malfunctioning in diabetic patients. The facility to maintain a database of the retinal photographs and associated data of any patient, taken on a regular basis, scrutinized for the prediction of the diseases may easily be incorporated.
Object detection, Image segmentation, bottom hat transformation, Photography
R. R. P., S. S. Shylaja and G. P. K., "Algorithmic Approach for Prediction and Early Detection of Diseases Using Retinal Images," Computer Graphics, Imaging and Visualisation (CGIV 2007)(CGIV), Bangkok, Thailand, 2007, pp. 501-505.