Automatic Detection of Blood Vessels in Digital Retinal Images using Soft Computing Technique

Adalarasan, R.; Malathi, R.

doi:10.1016/j.matpr.2017.11.298

Cited by 15 publications

(11 citation statements)

References 9 publications

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“…1) "R. Adalarasan", et al [3] describes the extraction of normal and isolated characteristics or marks in color retinal images. The adaptive filters are tuned to match the lump (part) of vessel to be extracted in green channel images.…”

Section: Features Extracted From Fundus Images Using Svm (Support mentioning

confidence: 99%

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Diabetic Retinopathy, an Eye Disease Prediction System: Survey

Mutha¹

2019

IJRASET

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Diabetic retinopathy is the most common complication caused by the diabetes, which affects the eyes and results in blindness. It's due to damage of the arteries and veins located in the fundus of the eye (retina) that are composed of light sensitive tissues. Although DR can be prevalent now days, its prevention remains challenging. Ophthalmologists typically diagnose the presence and severity of DR through visual assessment of the funds by direct examination and by evaluation of colour photographs. There are a large number of diabetes patients globally, this process is expensive as well as time consuming. The automated DR system is developed to predict various related diseases that are analysed. The Digital Retinal Fundus image is analysed for the classification of various stages of Diabetic Retinopathy (DR).

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Section: Features Extracted From Fundus Images Using Svm (Support mentioning

confidence: 99%

“…Color based approach [3]. 2) "Shishir Maheshwari", et al[6] introduces an automated diagnosis of glaucoma system.The available scanning methods are Heidelberg Retinal Tomography (HRT), Scanning Laser Polarimetry (SLP) and Optical Coherence Tomography (OCT).…”

mentioning

confidence: 99%

Diabetic Retinopathy, an Eye Disease Prediction System: Survey

Mutha¹

2019

IJRASET

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“…using neural network. C. Features Extracted from Fundus Images Using SVM (Support Vector Machine) 1) "R. Adalarasan", et al [3] describes the extraction of normal and isolated characteristics or marks in color retinal images. The adaptive filters are tuned to match the lump (part) of vessel to be extracted in green channel images.…”

Section: Bmentioning

confidence: 99%

“…Color based approach [3]. 2) "Shishir Maheshwari", et al[6] introduces an automated diagnosis of glaucoma system.…”

mentioning

confidence: 99%

Detection of Retinal Blood Vessels for Disease Prediction using Machine Learning

Wagh¹

2019

IJRASET

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Retinal diseases like glaucoma, diabetic retinopathy, age-related macular degeneration, stargardt's disease, retinopathy of prematurity that can lead to blindness manifest as artifacts in the retinal image. The term Diabetic retinopathy is the serious issue that is caused by the diabetes, which affects the eyes and results in blindness. It's due to damage of the arteries and veins that are present in the fundus of the eye (retina) that is the origin of light sensitive tissues. Although DR can be prevalent now days, its prevention remains challenging. Visual analysis of the funds and consideration of color photographs Ophthalmologists directly examine the existence and severity of DR. This process is expensive as well as time consuming as there are huge number of diabetes patients worldwide. The automatic DR system is expanded to predict various related diseases that are analyzed.

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“…The adaptive filters are tuned to match the part of vessel to be extracted in green channel images. To classify the pixels into vessels and non-vessels the Biogeography Based Optimization Algorithm is applied [2]. Diabetic Retinopathy is a major cause of blindness due to diabetes in the human society.…”

Section: Introductionmentioning

confidence: 99%

Fundus Blood Vessels Extraction Using Digital Image Processing Techniques

Gaikwad¹,

Manza²

2017

IJERT

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Abstract-Diabetic retinopathy is major eye complications produced by the diabetes mellitus, which causes other problems such as stroke, cardiovascular disease, diabetic nephropathy and diabetic neuropathy. Diabetic retinopathy consequences in visual conflicts and can lead to permanent blindness. Therefore, a regular diabetic retinopathy screening is essential for early treatment, along with an effective risk factor management to overcome the diabetic complications and reduce morbidity and mortality influence. In this paper we perform the digital image processing techniques to extract the retinal blood vessels. This algorithm is tested on STARE database.

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Automatic Detection of Blood Vessels in Digital Retinal Images using Soft Computing Technique

Cited by 15 publications

References 9 publications

Diabetic Retinopathy, an Eye Disease Prediction System: Survey

Diabetic Retinopathy, an Eye Disease Prediction System: Survey

Detection of Retinal Blood Vessels for Disease Prediction using Machine Learning

Fundus Blood Vessels Extraction Using Digital Image Processing Techniques

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