Deteksi Microaneurysm Pada Mata Sebagai Langkah Awal Untuk Penentuan Diabetic Retinophaty Menggunakan Pengolahan Citra Digital

Diabetic Retinopathy is a microvascular complication of diabetes mellitus. According to WHO (World Health Organization), there are more than 347 billion people who suffer from diabetes. This disease will become the seventh leading cause death in world 2030. Based on research Indonesia, it estimated that 42.6% diabetic retinopathy. Therefore, this final project plans system assist doctors identifying retinopathy through its characteristics, namely microaneurysm. begins with an input retinal image fundus camera. Then be processed preprocessing increase contrast using green channel. The next stage segmentation. used detect candidates blood vessels and microaneurysms use morphology operations. step feature extraction, where uses features glcm white pixels detected resulting value values as parameters determining whether classification process determination or not. success rate SVM (Support Vector Machine) method 88.4%.