Optical Disc and Blood Vessel Segmentation in Retinal Fundus Images

Blood Vessel Segmentation in Retinal Fundus Images

The segmentation of retinal blood vessels in the retina is a critical step in diagnosis of diabetic retinopathy. In this paper, we present a new method for automatically segmenting blood vessels in retinal images. Five basic algorithms for segmenting retinal blood vessels, based on different image processing techniques, are described and their strengths and weaknesses are compared. A hybrid alg...

Multiscale Blood Vessel Segmentation in Retinal Fundus Images

Retinal fundus imaging is widely used for eye examinations. The acquired images provide a unique view on the eye vasculature. The analysis of the vasculature has a high importance especially for detecting cardiovascular diseases. We present a multiscale algorithm for automatic retinal blood vessel segmentation, which is considered as a requirement for the diagnosis of vascular diseases. The alg...

Blood Vessel Segmentation in Retinal Images

Segmentation of blood vessels in retinal images allows early diagnosis of disease; automating this process provides several benefits including minimizing subjectivity and eliminating a painstaking, tedious task. Previous approaches, while satisfactory in some cases, still leave room for improvement, especially in abnormal retinal images. We propose to utilize a tracking based algorithm based on...

ROI and Blood Vessel Segmentation Based on Gradient Vector Algorithm in RGB Retinal Fundus Images

In this paper, a method is proposed for segmentation of ROI and blood vessels on pathological and non-pathological RGB retinal fundus images. In the proposed method, a preprocessing stage to make image enhancement is applied. Gradient vector algorithm is applied based on gradient vectors of pixels. Connected component analysis is applied to remove small objects that behave like blood vessels. T...

Blood Vessel Segmentation from Retinal Images