Detecting aneurysms in retinal images: fuzzy morphology vs. conventional methods

This paper presents a fuzzy morphological approach to detect the edges of real time images in order to preserve their features. Edge detection on these kinds of images is a difficult task where the edges/regions are vaguely visible. Especially, ...

Due to the imaging devices, real-world images such as biological images may have poor contrast and be corrupted by noise, so that regions in the images present soft edges and their segmentation turns out to be quite difficult. Fuzzy mathematical ...

This paper describes automated lesion detection in retinal images. Physicians and ophthalmologists assess retinal images for several kinds of lesions, including hemorrhages, exudates, and arteriolar narrowing. Hemorrhage is a major sign of diabetic ...