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- W2413729234 abstract "The objective of this paper is to detect blood vessels in color retinal images. Examination of blood vessels in the eye allows detection of eye diseases such as glaucoma, age-related macular degeneration and diabetic retinopathy. Automating the process allows consistency, and most importantly, frees up the time that a skilled technician or doctor would normally use for manual screening, thereby increasing the diagnostic case of the ophthalmologist. In this paper, performance of three different template matching algorithms, namely, Gaussian matched filter, kirsch template and canny edge detection method are analyzed for detection of blood vessels in the retinal images. The results obtained show the accuracy of the system." @default.
- W2413729234 created "2016-06-24" @default.
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- W2413729234 date "2012-09-05" @default.
- W2413729234 modified "2023-09-24" @default.
- W2413729234 title "Comparison of Gaussian Matched Filter, Kirsch Template and Canny Edge Detection Schemes for Detection of Blood Vessels in Retinal Images" @default.
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