Cargando…
A supervised blood vessel segmentation technique for digital Fundus images using Zernike Moment based features
This paper proposes a new supervised method for blood vessel segmentation using Zernike moment-based shape descriptors. The method implements a pixel wise classification by computing a 11-D feature vector comprising of both statistical (gray-level) features and shape-based (Zernike moment) features....
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059933/ https://www.ncbi.nlm.nih.gov/pubmed/32142540 http://dx.doi.org/10.1371/journal.pone.0229831 |