Blood vessel segmentation in color fundus images based on regional and Hessian features
Purpose: To propose a new algorithm of blood vessel segmentation based on regional and Hessian features for image analysis in retinal abnormality diagnosis. Methods: Firstly, color fundus images from the publicly available database DRIVE were converted from RGB to grayscale. To enhance the contrast...
| Main Authors: | Shah, S.A.A., Tang, T.B., Faye, I., Laude, A. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19419 / |
| Published: |
Springer Verlag
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018747145&doi=10.1007%2fs00417-017-3677-y&partnerID=40&md5=3eb38d771822d5839d43f81c42897735 http://eprints.utp.edu.my/19419/ |
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