An Automated Tracking Approach for Extraction of Retinal Vasculature in Fundus Images

PURPOSE: To present a novel automated method for tracking and detection of retinal blood vessels in fundus images. METHODS: For every pixel in retinal images, a feature vector was computed utilizing multiscale analysis based on Gabor filters. To classify the pixels based on their extracted features...

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Detalles Bibliográficos
Autores principales: Osareh, Alireza, Shadgar, Bita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ophthalmic Research Center 2010
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380666/
https://www.ncbi.nlm.nih.gov/pubmed/22737322

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380666/
https://www.ncbi.nlm.nih.gov/pubmed/22737322

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