Retinal vessel segmentation based on Frangi filter and morphological reconstruction

Abstract

The analysis of structural changes in retinal vessels is the most important part for diagnosing and detecting retinal related diseases such as diabetic retinopathy, hypertension, age-related macular degeneration (AMD) and arteriosclerotic. This paper presents a method for segmenting retinal vessels in retinal fundus image based on Frangi filter and morphological reconstruction. The proposed method is evaluated using colour fundus images from DRIVE and STARE datasets. In DRIVE dataset, the performance of proposed method achieves an average of sensitivity, specificity and accuracy at 72.13%, 96.65 % and 94.50%, respectively. Meanwhile, in STARE dataset, it achieves an average sensitivity of 75.50%, specificity of 90.38% and accuracy of 88.76%. These results indicate that the proposed method successfully segments retinal vessels in fundus images.