Abstract
The blindness in the people is due to various reasons such as age-related macular degeneration (AMD) and diabetic retinopathy (DR) [1]. This work deals with identification of affected and healthy images based on the discrimination capabilities in fundus image textures. For this purpose, texture descriptor algorithm extended binary pattern (EBP) is used for retinal images and the area and time consumption has been reduced by the means of it. The main aim of the work is to reduce time consumption and also categorize the retinal diseases with the retina background texture.
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Arul Jothi, S., Ramkumar Raja, M. (2019). Low-Power Extended Binary Pattern Image Feature Extraction. In: Saini, H., Singh, R., Kumar, G., Rather, G., Santhi, K. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-13-3765-9_9
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DOI: https://doi.org/10.1007/978-981-13-3765-9_9
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