NDLI: Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Miri, M.S. Mahloojifar, A.
Copyright Year	1964
Abstract	Retinal images can be used in several applications, such as ocular fundus operations as well as human recognition. Also, they play important roles in detection of some diseases in early stages, such as diabetes, which can be performed by comparison of the states of retinal blood vessels. Intrinsic characteristics of retinal images make the blood vessel detection process difficult. Here, we proposed a new algorithm to detect the retinal blood vessels effectively. Due to the high ability of the curvelet transform in representing the edges, modification of curvelet transform coefficients to enhance the retinal image edges better prepares the image for the segmentation part. The directionality feature of the multistructure elements method makes it an effective tool in edge detection. Hence, morphology operators using multistructure elements are applied to the enhanced image in order to find the retinal image ridges. Afterward, morphological operators by reconstruction eliminate the ridges not belonging to the vessel tree while trying to preserve the thin vessels unchanged. In order to increase the efficiency of the morphological operators by reconstruction, they were applied using multistructure elements. A simple thresholding method along with connected components analysis (CCA) indicates the remained ridges belonging to vessels. In order to utilize CCA more efficiently, we locally applied the CCA and length filtering instead of considering the whole image. Experimental results on a known database, DRIVE, and achieving to more than 94% accuracy in about 50 s for blood vessel detection, proved that the blood vessels can be effectively detected by applying our method on the retinal images.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	924287
Starting Page	1183
Ending Page	1192
File Format	PDF
ISSN	00189294
Volume Number	58
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Retina Transforms Image reconstruction Morphology Blood vessels Biomedical imaging retinal image Blood vessel segmentation curvelet transform morphology operators by reconstruction multistructure elements morphology
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Retinal Image Analysis Using Contourlet Transform and Multistructure Elements Morphology by Reconstruction

Retinal blood vessel segmentation using curvelet transform and morphological reconstruction

Retinal blood vessel extraction using curvelet transform and conditional fuzzy entropy

Extraction of Retinal Blood Vessel Using Curvelet Transform and Fuzzy C-Means

On retinal blood vessel extraction using curvelet transform and differential evolution based maximum fuzzy entropy

An improved retinal blood vessel segmentation algorithm based on multistructure elements morphology.

Curvelet transform and multi structure elements morphology by reconstruction based retinal image analysis.

Blood Vessel Enhancement and Segmentation Using Wavelet Transform

Extraction of retinal blood vessels by curvelet transform

Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction

Similar Documents

Retinal Image Analysis Using Contourlet Transform and Multistructure Elements Morphology by Reconstruction

Retinal blood vessel segmentation using curvelet transform and morphological reconstruction

Retinal blood vessel extraction using curvelet transform and conditional fuzzy entropy

Extraction of Retinal Blood Vessel Using Curvelet Transform and Fuzzy C-Means

On retinal blood vessel extraction using curvelet transform and differential evolution based maximum fuzzy entropy

An improved retinal blood vessel segmentation algorithm based on multistructure elements morphology.

Curvelet transform and multi structure elements morphology by reconstruction based retinal image analysis.

Blood Vessel Enhancement and Segmentation Using Wavelet Transform

Extraction of retinal blood vessels by curvelet transform

Retinal Image Analysis Using Curvelet Transform and Multistructure Elements Morphology by Reconstruction