Performance analysis of automated lesion detection of diabetic retinopathy using morphological operation
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ORIGINAL PAPER
Performance analysis of automated lesion detection of diabetic retinopathy using morphological operation R. Alaguselvi1 · Kalpana Murugan1 Received: 23 April 2020 / Revised: 6 September 2020 / Accepted: 3 October 2020 © Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract Diabetic retinopathy is one of the most common complications of diabetes. Hemorrhages, micro-aneurysms, exudates are one of the earlier signs of diabetic retinopathy. This paper proposes an algorithm of matched filter with morphological operation for the detection of lesions in the fundus retinal image. Contrast limited adaptive histogram equalization method is used for the extraction of vessels. The noise is removed from the images using matched filter. After enhancement, the thresholding is applied for vessel extraction. The threshold of the image is done by the iterative self-organizing data analysis technique algorithm method. After removal of optic disk and the blood vessels from the retinal image, the morphology method is used to easily identify different types of lesions. The diabetic retinopathy images were collected from DIARETDB1; the morphology operation method is analyzed using the metrics of sensitivity, specificity and accuracy. The proposed method’s detection accuracy value for the recognition of micro-aneurysms, exudates and hemorrhages was 98.43%, 98.06% and 98.68% compared with the results of the differential evolution algorithm. Detection of lesion such as micro-aneurysms, hemorrhages and exudates was possible. When compared with the differential evolution algorithm, morphological method achieved good accuracy for the detection of diabetic retinopathy. Keywords Diabetic retinopathy · Hemorrhages · Micro-aneurysms · Exudates · Matched filter · Fundus retinal image
1 Introduction Eye illnesses influence a huge number of human creatures which are expected to extend within the close future. Legitimate discovery and treatment of eye maladies anticipate visual misfortune in more than 50% of patients. Retinal images have been illustrated to be exceptionally effective apparatuses for malady determination. For occurrence, restorative specialists utilize ophthalmology photographs taken from the retina in arrange to analyze eye and systemic diseases [1]. Eye disease such as diabetic retinopathy (DR) and age-related macular degeneration (AMD) shows themselves on the retina. They are recognizable by examination of retinal images and may be treatable on the off chance
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Kalpana Murugan [email protected] R. Alaguselvi [email protected]
1
Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar, Tamilnadu 626126, India
that is identified at an early stage. Diabetic retinopathy is an eye malady that harms the retina. Presently, a day’s 80% of diabetic patients are influenced by DR. It can be treatable when the malady is found at the early stage. The organize of the DR is classified into two as shown in Fig. 1. They are non-p
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