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