International Journal of Scientific and Engineering Research · 2012 · 132 citations · 2 references
ArtsOphthalmologyComputer VisionDiabetologyDigital ImagingDiabetic RetinopathyDigital Image ProcessingEdge DetectionImage AnalysisImage ProcessingMedical Image AnalysisAutomated Image AnalysisAutomated Retinal Image AnalysisBlood Vessel MorphologyDiabetic Retinopathy DetectionImage Processing AlgorithmsRetinal Feature DetectionRetinal Image ProcessingRetinal Vessel Analysis
Diabetic retinopathy, a complication of diabetes that occurs as a result of vascular changes in the retina, It is a major cause of loss of vision. Automated image processing has the potential to assist in the early detection of diabetes, by detecting changes in blood vessel patterns in the retina. Image processing techniques can reduce the work of ophthalmologists and the tools used automatically locate the exudates. 0In this paper the process and knowledge of Digital Image Processing (DIP) is used. Automated analysis techniques for retinal images have been an important area of research for developing screening programmers. By using MATLAB for programming to develop the DIP tool for diagnosis of eye infection . Sobel edge detection algorithm is a method to find the edge pixels in an image. Edges are pixels which carry important information in an image. Thus sobel method is best technique for features are extended & used to classify the pixels in the patch into vessel and non vessel
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DETECTION OF DIABETIC RETINOPATHY USING RADIAL BASIS FUNCTION
M. Arthanari, Megala Sivakumar · 2011 · 20 citations