DocumentCode :
3731948
Title :
Improved Covering Blanket method for Choroidal Neovascularization (CNV) texture quantification
Author :
Anil R. Lande;Sangameshwar S. Pendalwar;Sandeep V. Paranjape
Author_Institution :
Shri Sant Gajanan Maharaj College of Engineering, Shegaon, Maharashtra, India
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
The proliferation of blood vessels originating from the choroid area causing a rupture in the Bruch membrane hooked on the sub-retinal pigment epithelium (sub-RPE) leads to Choroidal Neovascularization (CNV). The need for texture analysis and quantification rises due to the prediction of prevalence of CNV in near future. Improvement to conventional Covering Blanket method gave us better results for both fractal features; Fractal dimension and fractal signature. Most important of all is that the end results are obtained are superior for ε=4. This decrement in ε iteration gives efficient time complexity with respect to existing solution by Blanket method. Image dataset of about 15 subjects is used for textural quantification of 43 images; supplied by two ophthalmologists. The obtained results show high accuracy with discrimination rate of 98% using Blanket method within less ε iteration.
Keywords :
"Fractals","Biomedical imaging","Retina","Communications technology","Image resolution","Image segmentation","Blood vessels"
Publisher :
ieee
Conference_Titel :
Electronics, Computing and Communication Technologies (CONECCT), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/CONECCT.2015.7383939
Filename :
7383939
Link To Document :
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