Small retinal vessels extraction towards proliferative diabetic retinopathy screening

Girish Singh Ramlugun; Vivek Krishna Nagarajan; Chandan Chakraborty

doi:10.1016/j.eswa.2011.07.115

Small retinal vessels extraction towards proliferative diabetic retinopathy screening

Girish Singh Ramlugun, Vivek Krishna Nagarajan, Chandan Chakraborty

Research output: Contribution to journal › Article › peer-review

80 Citations (Scopus)

Abstract

This paper introduces a systematic approach for segmentation of retinal blood vessels towards the diagnosis of proliferative diabetic retinopathy (PDR) from digital fundus images. Here, 2D-Match (Gabor) filters are used on digital fundus images in which the vessels are enhanced by contrast-limited adaptive histogram equalization (CLAHE). A double sided thresholding scheme is then used to segment the vessels. Hysteresis thresholding is performed with the large and small vessels clipped at different intensity levels in order to reconstruct the vessels in the image. This vessel extraction technique leads to high accuracy (93.1%) in comparison with the ground truth images provided in the DRIVE database.

Original language	English
Pages (from-to)	1141-1146
Number of pages	6
Journal	Expert Systems with Applications
Volume	39
Issue number	1
DOIs	https://doi.org/10.1016/j.eswa.2011.07.115
Publication status	Published - 01-01-2012
Externally published	Yes

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Science Applications
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.eswa.2011.07.115

Cite this

@article{162ddc68143e41279f857cc41f2a5af7,

title = "Small retinal vessels extraction towards proliferative diabetic retinopathy screening",

abstract = "This paper introduces a systematic approach for segmentation of retinal blood vessels towards the diagnosis of proliferative diabetic retinopathy (PDR) from digital fundus images. Here, 2D-Match (Gabor) filters are used on digital fundus images in which the vessels are enhanced by contrast-limited adaptive histogram equalization (CLAHE). A double sided thresholding scheme is then used to segment the vessels. Hysteresis thresholding is performed with the large and small vessels clipped at different intensity levels in order to reconstruct the vessels in the image. This vessel extraction technique leads to high accuracy (93.1%) in comparison with the ground truth images provided in the DRIVE database.",

author = "Ramlugun, {Girish Singh} and Nagarajan, {Vivek Krishna} and Chandan Chakraborty",

year = "2012",

month = jan,

day = "1",

doi = "10.1016/j.eswa.2011.07.115",

language = "English",

volume = "39",

pages = "1141--1146",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Elsevier Limited",

number = "1",

}

TY - JOUR

T1 - Small retinal vessels extraction towards proliferative diabetic retinopathy screening

AU - Ramlugun, Girish Singh

AU - Nagarajan, Vivek Krishna

AU - Chakraborty, Chandan

PY - 2012/1/1

Y1 - 2012/1/1

N2 - This paper introduces a systematic approach for segmentation of retinal blood vessels towards the diagnosis of proliferative diabetic retinopathy (PDR) from digital fundus images. Here, 2D-Match (Gabor) filters are used on digital fundus images in which the vessels are enhanced by contrast-limited adaptive histogram equalization (CLAHE). A double sided thresholding scheme is then used to segment the vessels. Hysteresis thresholding is performed with the large and small vessels clipped at different intensity levels in order to reconstruct the vessels in the image. This vessel extraction technique leads to high accuracy (93.1%) in comparison with the ground truth images provided in the DRIVE database.

AB - This paper introduces a systematic approach for segmentation of retinal blood vessels towards the diagnosis of proliferative diabetic retinopathy (PDR) from digital fundus images. Here, 2D-Match (Gabor) filters are used on digital fundus images in which the vessels are enhanced by contrast-limited adaptive histogram equalization (CLAHE). A double sided thresholding scheme is then used to segment the vessels. Hysteresis thresholding is performed with the large and small vessels clipped at different intensity levels in order to reconstruct the vessels in the image. This vessel extraction technique leads to high accuracy (93.1%) in comparison with the ground truth images provided in the DRIVE database.

UR - http://www.scopus.com/inward/record.url?scp=81855164930&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=81855164930&partnerID=8YFLogxK

U2 - 10.1016/j.eswa.2011.07.115

DO - 10.1016/j.eswa.2011.07.115

M3 - Article

AN - SCOPUS:81855164930

SN - 0957-4174

VL - 39

SP - 1141

EP - 1146

JO - Expert Systems with Applications

JF - Expert Systems with Applications

IS - 1

ER -

Small retinal vessels extraction towards proliferative diabetic retinopathy screening

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this