Trainable WEKA Segmentation of Retinal Fundus Images for Global Eye Disease Diagnosis Application

2020 International Journal of Emerging Trends in Engineering Research  
Image segmentation is a challenging task and quite important in biomedical images for disease identification and measuring the progress of the disease. Segmentation and extraction of retinal blood vessels, micro aneurysms, hemorrhages, soft exudates and hard exudates have a significant attention to diagnosis various retinal related diseases especially diabetic retinopathy and glaucoma. The proposed work effectively segments the above-mentioned regions from the retinal images with Contrast
more » ... d Adaptive Histogram Equalization (CLAHE) preprocessing and Fast Random Forest Classifier supported by Trainable WEKA segmentation of FIJI Tool. The proposed work segments each and every pixel of the retinal image into predefined classes and the produced good segmentation results as shown in the paper.
doi:10.30534/ijeter/2020/136892020 fatcat:wqmkd2oitrbb3fvsgjn32gk4xi