NDLI: Efficient approach for the automatic detection of haemorrhages in colour retinal images

Content Provider	IET Digital Library
Author	Bhoopalan, Ramasubramanian Sundaramoorthy, Selvaperumal
Abstract	Advances in the eye care telemedicine system aid the diabetic patients in remote areas to stop the unwanted visit to ophthalmologist, reduces overall cost, time and money. Diabetic retinopathy, which is the primary cause of sight loss, has the most common symptoms like microaneurysms, haemorrhages, cotton-wool spots, exudates and drusen. In this work, an efficient approach for the automatic detection of haemorrhages in colour retinal images is proposed and validated. The colour retinal images captured from the diabetic patients are enhanced by an effective pre-processor. A bag of features based on intensity, colour and texture are extracted. Finally, the features are classified with the help of partial least square classifier. The classifier performance is validated on two publicly available databanks. The developed method obtains an area under receiver operating characteristic curve of 0.98 with an average execution time of 6 s. This application outperforms the existing approaches with high robustness and efficiency.
Starting Page	1550
Ending Page	1554
Page Count	5
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 9, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1036
Journal	IET Image Processing
Publisher Date	2018-04-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Area under Receiver Operating Characteristic Curve Automatic Detection Biology And Medical Computing Biomedical Communication Biomedical Imaging/measurement Biomedical Optical Imaging Colour Retinal Image Computer Vision And Image Processing Technique Cotton-wool Spots Diabetic Patients Diabetic Retinopathy Diseases Effective Pre-processor Efficient Approach Eye Eye Care Telemedicine System Aid Feature Classification Feature Extraction Haemorrhages Image Classification Image Colour Analysis Image Intensity Image Processing Image Recognition Image Texture Least Squares Approximation Medical Image Processing Optical And Laser Radiation Partial Least Square Classifier Patient Diagnostic Method And Instrumentation Pattern Recognition Probability Theory Restoration Sight Loss Statistics Stochastic Linearised SCUC Telecommunication Application Telemedicine Time 6.0 S
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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