distinguishing of retinal area using slic based super pixel segmentation with svm classifier
P.Kannya,S.Kayathri,M.Nithila,R.K.Santhia
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 09 April,2016 Pages:965-975
Abstract
Dynamic Scanning laser ophthalmoscopes SLOs can be utilized for ahead of schedule recognition of retinal sicknesses. With the appearance of most recent screening innovation, the upside of utilizing SLO is its wide field of perspective, which can picture an expansive part of the retina for better conclusion of the retinal sicknesses. Then again, amid the imaging process, ancient rarities, for example, eyelashes and eyelids are additionally imaged alongside the retinal zone. This brings a major test on the most proficient method to reject these relics. In this paper, we propose a novel methodology to naturally extricate out genuine retinal range from a SLO picture in light of picture handling and machine learning approaches. To decrease the unpredictability of picture preparing errands and give a advantageous primitive picture design, we have gathered pixels into distinctive districts taking into account the provincial size and minimization, called super pixels. The structure then ascertains picture based elements reflecting textural and basic data and characterizes between retinal region and ancient rarities.
Kewords
Feature choice, retinal curios extraction, retinal picture examination, filtering laser ophthalmoscope.
Reference
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