Title :
A Survey on Blood Vessel Detection Methodologies in Retinal Images
Author :
Dash, Jyotiprava ; Bhoi, Nilamani
Author_Institution :
Electron. & Telecommun., Veer Surendra Sai Univ. of Technol., Sambalpur, India
Abstract :
Automatic detection of the blood vessels in retinal images is a challenging task. In this paper a survey has been made to help biomedical engineers and medical physicists. Here we have taken three different methods for blood vessels segmentation, method (a) a novel method to segment the retinal blood vessel is used, which overcome the variations in contrast in large and thin blood vessels. Method (b) a method uses 2-D Gabor wavelet to enhance the vascular pattern and method(c) a method used is Star Networked Pixel Tracking Algorithm which is used to eradicate a noise aligned in a vessel format. These methods to segment the blood vessels so that we can easily diagnose and do treatment of several eye disorders.
Keywords :
Gabor filters; blood vessels; eye; image enhancement; image segmentation; medical image processing; object detection; object tracking; patient treatment; wavelet transforms; 2D Gabor wavelet; blood vessel detection methodologies; eye disorder diagnosis; eye disorder treatment; retinal blood vessels segmentation; retinal images; star networked pixel tracking algorithm; vascular pattern enhancement; Biomedical imaging; Blood vessels; Feature extraction; Image segmentation; Retina; Wavelet transforms; Diabetic retinopathy; fundus; morphological operation; retinal image;
Conference_Titel :
Computational Intelligence and Networks (CINE), 2015 International Conference on
Conference_Location :
Bhubaneshwar
Print_ISBN :
978-1-4799-7548-8
DOI :
10.1109/CINE.2015.39
