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Publisher: University of Warwick. Department of Computer Science
Languages: English
Types: Other
Subjects: QA76

Classified by OpenAIRE into

arxiv: Computer Science::Computer Vision and Pattern Recognition
This report presents a method of detecting branching structure, such as blood vessels from retinal images, using a Gaussian Intensity model. Features are modelled with a Gaussian function parameterised by position, orientation and variance within some spatial window. Multiple features are modelled using a superposition of Gaussian models. A non-parametric classifier (k-means) is used to cluster components corresponding to each feature. Two different groups of images are used to test the methodology: artificial images and images of the human retina.
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