Published In : IJCSN Journal Volume 9, Issue 3

Date of Publication : June 2020

Pages : 114-122

Figures :08

Tables : 03

 

Mahoro Adidja : Department of Computer Science and Technology, School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Boulevard, Wuxi, Jiangsu 214122, People’s Republic of China.

Hamzeh Abdillahi Robleh : Department of Computer Science and Technology, School of Artificial Intelligence and Computer Science, Jiangnan University, 1800 Lihu Boulevard, Wuxi, Jiangsu 214122, People’s Republic of China.

 

Image Processing, Retinal Blood Vessels, Morphological Operation, Kirsch’s Template

Retinal image is being used by ophthalmologists to aid in screening, diagnosis and identification of ophthalmologic disorders. Most times, extraction of retinal blood vessel network is a key challenge for proper analysis, visualization and quantitative comparison. The present study developed an automated method for extraction of retinal blood vessels from retinal fundus image within a short time using morphological operations method coupled with Kirsch’s template. The proposed framework was validated on the publicly available retinal image dataset DRIVE.The results obtained were compared with some other existing standard methods tested and evaluated on the same DRIVE dataset. Based on the achieved results, the proposed methods is promising comparing to other existing standard methods used similar dataset in term of accuracy, sensitivity, specificity and time taken to process a single image. This showed that it is possible to extract retinal blood vessels with high accuracy within a short time.

 

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