Model-based method for improving the accuracy and repeatability of estimating vascular bifurcations and crossovers from retinal fundus images.

Model-based method for improving the accuracy and repeatability of estimating vascular bifurcations and crossovers from retinal fundus images.

A model-based algorithm, termed exclusion region and position refinement (ERPR), is presented for improving the accuracy and repeatability of estimating the locations where vascular structures branch and cross over, in the context of human retinal images. The goal is two fold. First, accurate morpho...

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Détails bibliographiques
Publié dans:IEEE Transactions on information technology in biomedicine 8, 2 (2004).
Auteur principal: Chia-Ling Tsai
Format: Article
Langue:English
Sujets:
Accurate morphometry.
Biomedical image analysis.
Crossovers.
Exclusion region and position refinement algorithm.
Feature extraction.
Feature refinement.
Feature stability.
Human retinal images.
Image registration.
Landmarks.
Location repeatability.
Median location error.
Model-based algorithm.
Mosaic synthesis.
Neuronal structure.
Vascular bifurcation.
Vessel orientation.