A Novel Retinal Vessel Segmentation Based On Histogram Transformation Using 2-D Morlet Wavelet and Supervised Classification

by   Saeid Fazli, et al.

The appearance and structure of blood vessels in retinal images have an important role in diagnosis of diseases. This paper proposes a method for automatic retinal vessel segmentation. In this work, a novel preprocessing based on local histogram equalization is used to enhance the original image then pixels are classified as vessel and non-vessel using a classifier. For this classification, special feature vectors are organized based on responses to Morlet wavelet. Morlet wavelet is a continues transform which has the ability to filter existing noises after preprocessing. Bayesian classifier is used and Gaussian mixture model (GMM) is its likelihood function. The probability distributions are approximated according to training set of manual that has been segmented by a specialist. After this, morphological transforms are used in different directions to make the existing discontinuities uniform on the DRIVE database, it achieves the accuracy about 0.9571 which shows that it is an accurate method among the available ones for retinal vessel segmentation.



There are no comments yet.


page 3

page 5


Automated retinal vessel segmentation based on morphological preprocessing and 2D-Gabor wavelets

Automated segmentation of vascular map in retinal images endeavors a pot...

Retinal Vessel Segmentation Using the 2-D Morlet Wavelet and Supervised Classification

We present a method for automated segmentation of the vasculature in ret...

Hierarchical method for cataract grading based on retinal images using improved Haar wavelet

Cataracts, which are lenticular opacities that may occur at different le...

A framework for retinal vessel segmentation from fundus images using hybrid feature set and hierarchical classification

Retinal blood vessels play an imperative role in detection of many ailme...

Supervised Segmentation of Retinal Vessel Structures Using ANN

In this study, a supervised retina blood vessel segmentation process was...

Retinal vessel segmentation based on Fully Convolutional Neural Networks

The retinal vascular condition is a reliable biomarker of several ophtha...

Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography

Automated segmentation of retinal blood vessels in label-free fundus ima...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.