Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing

Complete Blood Count and Retinal Vessel Calibers

OBJECTIVE The influence of hematological indices such as complete blood count on microcirculation is poorly understood. Retinal microvasculature can be directly visualized and vessel calibers are associated with a range of ocular and systemic diseases. We examined the association of complete blood count with retinal vessel calibers. METHODS Cross-sectional population-based Blue Mountains Eye ...

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...

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...

Blood Vessel Segmentation from Retinal Images

Comparative Study on Retinal Blood Vessel Detection

In this work, an algorithm has been developed for automatic detection of blood vessels in normal and abnormal retinal images. The algorithm comprises of four steps: second derivative Gaussian function filtering, local entropy thresholding, median filtering and length filtering. The algorithm so developed has been tested on twenty ocular fundus images. The results of this algorithm are compared ...