SAI PRASAD RAVISHANKAR,Arpit Jain,PROF. ANURAG MITTAL
申请号：
IN94/CHE/2009
公开号：
IN278693B
申请日:
2009.01.13
申请国别(地区):
IN
年份:
2016
代理人:
摘要：
We Claim: 1. Automated system for the early detection of diabetic retinopathy comprising the steps of extraction of exudates which appear as bright patches with sharp edges in retinal images by morphological operations and further classification based on gradient strength and intensity properties localizing the optic disk by combining the convergence of thicker blood arising from it along with high disk intensity property in a cost function along with blood vessel intersection, the blood vessel trunks themselves being obtained using morphological filters, the optic disk being masked out from the exudate detection to prevent false disease detections. initially segmenting microaneurysms and hemorrhages (IVlAHMs) by morphological filters to exploit their local "dark patch" property developing a color model using blood vessels to further classify the segmented lesions and eliminate false ones detecting and masking out the Fovea determining the size, count and distribution of exudates and MAHMs, all the foregoing steps being carried out by " computer screening and evaluation of the images of the retina.
