Raghu Raj P. Gurudatha Pai K. Shylaja, S. S. creator text xx USA 2007 IEEE computer society 9999 monographic und Eng lis h

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501-505 Object detection, Image segmentation,bottom hat transformation,Photography PESIT/IS Article published in the Proceedings on Computer Graphics, Imaging and Visualisation - New Advances - held in Bangkok, Thailand 14, 15-17 August 2007 edited by Ebad Banissi, Muhammad Sarfraz and Natasha Dejdumrong pp 501 - 505 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 ma functioning in diabetic patients. 777e 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. 231221