Fundamentals of digital image processing
Fundamentals of digital image processing
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
A region merging algorithm using mathematical morphology: application to macula detection
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Bayesian detection of the fovea in eye fundus angiographies
Pattern Recognition Letters
Survey on tensor signal algebraic filtering
Signal Processing
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
IEEE Transactions on Image Processing
Blood vessel segmentation methodologies in retinal images - A survey
Computer Methods and Programs in Biomedicine
An approach to localize the retinal blood vessels using bit planes and centerline detection
Computer Methods and Programs in Biomedicine
Gradual iris code construction from close-up eye video
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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This paper deals with the segmentation of the Foveal Avascular Zone (FAZ) in digital retinal angiograms. Retinal angiography is used for detection and progression in some eye pathologies. The proposed method consists of two-stages: Singular Value Decomposition (SVD) and FAZ segmentation using Markov Random Fields (MRF). The obtained results demonstrate that the method is encouraging as a first approach for location and evolution of FAZ in retinal images.