Asian Journal of Engineering and Technology Innovation

Asian Journal of Engineering and Technology Innovation

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Screening of Diabetic Retinopathy Images in LabView

Purushottama T L and Kishore C

Department of Electronics and Communication, Siddaganga Institute of Technology, Tumkur-572103

Abstract

Diabetic Retinopathy (DR) is gradual obstruction in the functioning of the blood vessels in retina of the eye caused by chronic hyperglycemia which may be due to diabetes type 1 or diabetes type 2. Initially, DR may not be easily recognizable, but it can cause vision loss if it reaches a severe level. Diabetic retinopathy is main cause of vision loss for more than 5 percent of the diabetic patients around the world. So the early detection of Diabetic retinopathy through proper screening is essential.
The paper presents a Diabetic Retinopathy Screening System which can be used as a primary diagnosis tool by doctors in the diagnosis for identifying the features of Diabetic Retinopathy. The system processes the retinal images and scans the basic parts like blood vessels, exudates and microaneurysms. The retinal images are segmented and classified as normal or DR affected images by extracting features from segmented images and the Gray Level Co-occurrence Matrix (GLCM). The classifier used is Support Vector Machine (SVM) which gives a better accuracy.
The system is implemented and tested LabView for the standard database and need to be optimized for real time screening of images. LabView creates distributable .EXE files and .DLL files which can be downloaded into the FPGA/DSP processor. Hardware implementation on LabView FPGA presents a small learning curve which drastically reduces development time and eliminates the need for custom hardware design.

Keywords:
Diabetes Type-2, exudates, micro aneurysms (MA), LabView, morphological operators, Grey level co-occurrence matrix (GLCM), Support vector machine classifier(SVM).
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