Sukhpreet Kaur, K. S. Mann
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引用次数: 2
Retinal Vessel Segmentation Using an Entropy-Based Optimization Algorithm
Thisarticlepresentsanalgorithmforthesegmentationofretinalbloodvesselsforthedetectionof diabeticretinopathyeyediseases.Thisdiseaseoccursinpatientswithuntreateddiabetesforalongtime. Sincethisdiseaseisrelatedtotheretina,itcaneventuallyleadtovisionimpairment.Theproposed algorithmisasupervisedlearningmethodofbloodvesselssegmentationinwhichtheclassification system is trained with the features that are extracted from the images. The proposed system is implementedontheimagesofDRIVE,STAREandCHASE_DB1databases.Thesegmentationis donebyformingclusterswiththefeaturesofpatterns.Thefeatureswereextractedusingindependent componentanalysisand theclassification isperformedbysupportvectormachines (SVM).The resultsoftheparametersaregroupedbyaccuracy,sensitivity,specificity,positivepredictivevalue, falsepositiverateandarecomparedwithparticleswarmoptimization(PSO),thefireflyoptimization algorithm(FA)andthelionoptimizationalgorithm(LOA). KEywORdS Diabetic Retinopathy, Feature Extraction, Optimization, Retinal Vessels
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