Image analysis algorithms for feature extraction in eye fundus images

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Òptica i Optometria
dc.contributor	García Varela, Millán
dc.contributor	Sagrario, María
dc.contributor.author	Marrugo Hernández, Andrés Guillermo
dc.date	2009-07-20
dc.identifier.uri	http://hdl.handle.net/2099.1/7984
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Oftalmologia
dc.subject	Diagnostic imaging
dc.subject	Retina -- Diseases
dc.subject	Medical imaging
dc.subject	Eye fundus
dc.subject	Image analysis
dc.subject	Diagnòstic per la imatge
dc.subject	Retina -- Malalties
dc.title	Image analysis algorithms for feature extraction in eye fundus images
dc.type	info:eu-repo/semantics/masterThesis
dc.description.abstract	Retinal images are widely used for diagnostic purposes by ophthalmolo- gists. Therefore, these images are suitable for digital image analysis for their visual enhancement and pathological risk or damage detection. Here, we implement a lu- minosity and contrast enhancement technique based on domain knowledge. We also review and analyze a previous approach in optic nerve head segmentation to extend its applicability to non circular shaped contours. We introduce a di erent strategy based on the use of active contours.