Retinal blood vessel extraction method based on basic filtering schemes

Toufique Soomro; Junbin Gao; Manoranjan Paul; Lihong Zheng

doi:10.1109/ICIP.2017.8297118

Retinal blood vessel extraction method based on basic filtering schemes

Toufique Soomro, Junbin Gao, Manoranjan Paul, Lihong Zheng

The University of Sydney

Research output: Book chapter/Published conference paper › Conference paper › peer-review

10 Citations (Scopus)

Abstract

The eye disease such as Diabetic Retinopathy(DR) can be analysed through segmentation of retinal blood vessels. In the last five years, many methods for retinal blood vessels segmentation were proposed. These methods give arise to the improved accuracy, however the sensitivity of low contrast vessels is often ignored. The performance of diagnosis in terms of segmentation of vessels can be degraded due to missing tiny vessels. In this study, we propose a novel algorithm aiming at improving the performance of segmenting small vessels. The proposed approach adopts a morphological and filtering method to handle the background noise and uneven illumination and uses anisotropic diffusion filtering to coherent the vessels and give initial detection of vessels, followed by a double threshold based region growing method.

Original language	English
Title of host publication	2017 IEEE International Conference on image processing (ICIP) proceedings
Place of Publication	United States
Publisher	IEEE
Pages	4422-4426
Number of pages	5
ISBN (Electronic)	9781509021758
ISBN (Print)	9781509021765 (Print on demand)
DOIs	https://doi.org/10.1109/ICIP.2017.8297118
Publication status	Published - 22 Feb 2018
Event	2017 24th IEEE International Conference on Image Processing: ICIP 2017 - China National Convention Center , Beijing, China Duration: 17 Sept 2017 → 20 Sept 2017 http://2017.ieeeicip.org/ (Conference website)

Conference

Conference	2017 24th IEEE International Conference on Image Processing
Country/Territory	China
City	Beijing
Period	17/09/17 → 20/09/17
Other	The 24th IEEE International Conference on Image Processing (ICIP) will be held in the China National Conventional Center, Beijing, China, on September 17-20, 2017. ICIP is the world' largest and most comprehensive technical conference focused on image and video processing and computer vision. The conference will feature world-class speakers, tutorials, exhibits, and a vision technology showcase.
Internet address	http://2017.ieeeicip.org/ (Conference website)

Access to Document

10.1109/ICIP.2017.8297118

Cite this

@inproceedings{c26138b03c3748d3aef86b8dda0bdcf0,

title = "Retinal blood vessel extraction method based on basic filtering schemes",

abstract = "The eye disease such as Diabetic Retinopathy(DR) can be analysed through segmentation of retinal blood vessels. In the last five years, many methods for retinal blood vessels segmentation were proposed. These methods give arise to the improved accuracy, however the sensitivity of low contrast vessels is often ignored. The performance of diagnosis in terms of segmentation of vessels can be degraded due to missing tiny vessels. In this study, we propose a novel algorithm aiming at improving the performance of segmenting small vessels. The proposed approach adopts a morphological and filtering method to handle the background noise and uneven illumination and uses anisotropic diffusion filtering to coherent the vessels and give initial detection of vessels, followed by a double threshold based region growing method.",

keywords = "Retinal vessels, Enhancement, Adpative filtering, Binarization, Coherence",

author = "Toufique Soomro and Junbin Gao and Manoranjan Paul and Lihong Zheng",

note = "Includes bibliographical references.; 2017 24th IEEE International Conference on Image Processing : ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",

year = "2018",

month = feb,

day = "22",

doi = "10.1109/ICIP.2017.8297118",

language = "English",

isbn = "9781509021765 (Print on demand)",

pages = "4422--4426",

booktitle = "2017 IEEE International Conference on image processing (ICIP) proceedings",

publisher = "IEEE",

url = "http://2017.ieeeicip.org/",

}

TY - GEN

T1 - Retinal blood vessel extraction method based on basic filtering schemes

AU - Soomro, Toufique

AU - Gao, Junbin

AU - Paul, Manoranjan

AU - Zheng, Lihong

N1 - Includes bibliographical references.

PY - 2018/2/22

Y1 - 2018/2/22

N2 - The eye disease such as Diabetic Retinopathy(DR) can be analysed through segmentation of retinal blood vessels. In the last five years, many methods for retinal blood vessels segmentation were proposed. These methods give arise to the improved accuracy, however the sensitivity of low contrast vessels is often ignored. The performance of diagnosis in terms of segmentation of vessels can be degraded due to missing tiny vessels. In this study, we propose a novel algorithm aiming at improving the performance of segmenting small vessels. The proposed approach adopts a morphological and filtering method to handle the background noise and uneven illumination and uses anisotropic diffusion filtering to coherent the vessels and give initial detection of vessels, followed by a double threshold based region growing method.

AB - The eye disease such as Diabetic Retinopathy(DR) can be analysed through segmentation of retinal blood vessels. In the last five years, many methods for retinal blood vessels segmentation were proposed. These methods give arise to the improved accuracy, however the sensitivity of low contrast vessels is often ignored. The performance of diagnosis in terms of segmentation of vessels can be degraded due to missing tiny vessels. In this study, we propose a novel algorithm aiming at improving the performance of segmenting small vessels. The proposed approach adopts a morphological and filtering method to handle the background noise and uneven illumination and uses anisotropic diffusion filtering to coherent the vessels and give initial detection of vessels, followed by a double threshold based region growing method.

KW - Retinal vessels

KW - Enhancement

KW - Adpative filtering

KW - Binarization

KW - Coherence

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8267582

UR - http://2017.ieeeicip.org/

UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296229

U2 - 10.1109/ICIP.2017.8297118

DO - 10.1109/ICIP.2017.8297118

M3 - Conference paper

SN - 9781509021765 (Print on demand)

SP - 4422

EP - 4426

BT - 2017 IEEE International Conference on image processing (ICIP) proceedings

PB - IEEE

CY - United States

T2 - 2017 24th IEEE International Conference on Image Processing

Y2 - 17 September 2017 through 20 September 2017

ER -

Retinal blood vessel extraction method based on basic filtering schemes

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this