TK294 : Retinal Vessel Segmentation Using Contourlet Transform and Line Operators
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2013
Authors:
Abstarct: The thesis aims to propose an efficient algorithm for segmentation of blood vessel in
colored retinal fundus image. We have used an algorithm contains three main stages.
Preprocessing is the first stage which is divided into two steps itself. Obtain threshold
via Contourlet Transform and PSO algorithm, modification of Contourlet coefficients
and enhance image are these two steps. The second stage is extracting the vessels. In
order to extract vessels we have used use a line detector at eight scales and twelve
directions to extract proper features for detecting vessels. Last stage is postprossesing to
improve the quality of extracted vessels. At this stage removes some noise and broken
blood vessels are connected to the Vessel tree. The broken vessels are lixnked using a
grouping strategy. The proposed method is evaluated and compared with several recent
methods using images from the DRIVE databaxse
Keywords-component:
Retinal
Keywords:
#Vessel segmentation; Contourlet transform; Line detection; Enhance image Link
Keeping place: Central Library of Shahrood University
Visitor:
Keeping place: Central Library of Shahrood University
Visitor: