Review Paper on Automated Feature Demodulate of A/V in Retinal Images for Classification |
Author(s): |
| Mr. Devadatta D. Pukale , JSPM?s ICOER Wagholi, Pune; Dr. S. L. Lahudkar , JSPM?s ICOER Wagholi, Pune |
Keywords: |
| Demodulate, A/V |
Abstract |
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The classification of retinal image vessels into artery/vein is an most important phase for automating the detection of vascular changes of retinal, and for the calculation of characteristic allotted with many systemic diseases such as diabetes, hypertension. An automatic approach for A/V classification based on the analysis of a graph extracted from the retinal vasculature images. The system classifies the entire vascular tree image deciding on the type of each intersection point and allotted one of two labels to each vessel segment. Last classification of a vessel segment as A/V is performed through the combination of the graph-based labeling segment results with a set of intensity features. |
Other Details |
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Paper ID: IJSRDV4I40992 Published in: Volume : 4, Issue : 4 Publication Date: 01/07/2016 Page(s): 1322-1325 |
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