A robust technique based on VLM and Frangi filter for retinal vessel extraction and denoising.

ABSTRACT: The exploration of retinal vessel structure is colossally important on account of numerous diseases including stroke, Diabetic Retinopathy (DR) and coronary heart diseases, which can damage the retinal vessel structure. The retinal vascular network is very hard to be extracted due to its spreading and diminishing geometry and contrast variation in an image. The proposed technique consists of unique parallel processes for denoising and extraction of blood vessels in retinal images. In the preprocessing section, an adaptive histogram equalization enhances dissimilarity between the vessels and the background and morphological top-hat filters are employed to eliminate macula and optic disc, etc. To remove local noise, the difference of images is computed from the top-hat filtered image and the

SUBMITTER: Khan KB 

PROVIDER: S-EPMC5809116 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature