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Erschienen in:
2016 | OriginalPaper | Buchkapitel
Design New Biorthogonal Wavelet Filter for Extraction of Blood Vessels and Calculate the Statistical Features
verfasst von : Yogesh M. Rajput, Ramesh R. Manza, Rathod D. Deepali, Manjiri B. Patwari, Manoj Saswade, Neha Deshpande
Erschienen in: Information Systems Design and Intelligent Applications
Verlag: Springer India
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Abstract
World health organization predicts that in year 2012 there are about 347 million people worldwide have diabetes, more than 80 % of diabetes deaths occur in different countries. WHO projects that diabetes will be the 7th major cause leading death in 2030. Diabetic Retinopathy caused by leakage of blood or fluid from the retinal blood vessels and it will damage the retina. For extraction of retinal blood vessels we have invent new wavelet filter. The proposed filter gives the good extraction result as compare to exiting wavelet filter. In proposed algorithm, we have extract the retinal blood vessels features like area, diameter, length, thickness, mean, tortuosity, and bifurcations. The proposed algorithm is tested on 1191 fundus images and achieves sensitivity of 98 %, specificity of 92 % and accuracy of 95 %.